Machine Learning and Deep Learning Methods for Skin Lesion Classification and Diagnosis: A Systematic Review

A patient-centric dataset of images and metadata for identifying melanomas using clinical context

(2021) Veronica Rotemberg et al.   Scientific Data

Skin Lesion Segmentation and Multiclass Classification Using Deep Learning Features and Improved Moth Flame Optimization

(2021) Muhammad Attique Khan et al.   Diagnostics

Bias in data‐driven artificial intelligence systems—An introductory survey

(2020) Eirini Ntoutsi et al.   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

DePicT Melanoma Deep-CLASS: a deep convolutional neural networks approach to classify skin lesion images

(2020) Sara Nasiri et al.   BMC BIOINFORMATICS

DSNet: Automatic dermoscopic skin lesion segmentation

(2020) Md. Kamrul Hasan et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Skin Lesion Segmentation with Improved Convolutional Neural Network

(2020) Şaban Öztürk et al.   JOURNAL OF DIGITAL IMAGING

Multiple skin lesions diagnostics via integrated deep convolutional networks for segmentation and classification

(2020) Mohammed A. Al-masni et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Classification of Skin Lesions into Seven Classes Using Transfer Learning with AlexNet

(2020) Khalid M. Hosny et al.   JOURNAL OF DIGITAL IMAGING

Skin melanoma classification using ROI and data augmentation with deep convolutional neural networks

(2020) Khalid M. Hosny et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Transfer learning using a multi-scale and multi-network ensemble for skin lesion classification

(2020) Amirreza Mahbod et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

An End-to-End Multi-Task Deep Learning Framework for Skin Lesion Analysis

(2020) Lei Song et al.   IEEE Journal of Biomedical and Health Informatics

Raman spectra‐based deep learning: A tool to identify microbial contamination

(2020) Murali K. Maruthamuthu et al.   MicrobiologyOpen

A Novel Convolutional Neural Network for the Diagnosis and Classification of Rosacea: Usability Study

(2020) Zhixiang Zhao et al.   JMIR Medical Informatics

Automated detection of melanocytes related pigmented skin lesions: A clinical framework

(2019) Sameena Pathan et al.   Biomedical Signal Processing and Control

Classification of melanoma based on feature similarity measurement for codebook learning in the bag-of-features model

(2019) Kai Hu et al.   Biomedical Signal Processing and Control

Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task

(2019) Titus J. Brinker et al.   EUROPEAN JOURNAL OF CANCER

Advances in the Understanding of Skin Cancer: Ultraviolet Radiation, Mutations, and Antisense Oligonucleotides as Anticancer Drugs

(2019) Laikova et al.   MOLECULES

Diagnosis of melanoma from dermoscopic images using a deep depthwise separable residual convolutional network

(2019) Rahul Sarkar et al.   IET Image Processing

Detection of Skin Cancer Using SVM, Random Forest and kNN Classifiers

(2019) A. Murugan et al.   JOURNAL OF MEDICAL SYSTEMS

Adaptive melanoma diagnosis using evolving clustering, ensemble and deep neural networks

(2019) Teck Yan Tan et al.   KNOWLEDGE-BASED SYSTEMS

Classification of skin lesions using transfer learning and augmentation with Alex-net

(2019) Khalid M. Hosny et al.   PLoS One

Deep Learning and Handcrafted Method Fusion: Higher Diagnostic Accuracy for Melanoma Dermoscopy Images

(2019) Jason R. Hagerty et al.   IEEE Journal of Biomedical and Health Informatics

Extraction of features from cross correlation in space and frequency domains for classification of skin lesions

(2019) Saptarshi Chatterjee et al.   Biomedical Signal Processing and Control

Integration of morphological preprocessing and fractal based feature extraction with recursive feature elimination for skin lesion types classification

(2019) Saptarshi Chatterjee et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Systematic outperformance of 112 dermatologists in multiclass skin cancer image classification by convolutional neural networks

(2019) Roman C. Maron et al.   EUROPEAN JOURNAL OF CANCER

Attention Residual Learning for Skin Lesion Classification

(2019) Jianpeng Zhang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Skin cancer diagnosis based on optimized convolutional neural network

(2019) Ni Zhang et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Skin lesion classification enhancement using border-line features – The melanoma vs nevus problem

(2019) Pedro M.M. Pereira et al.   Biomedical Signal Processing and Control

Kernel sparse representation based model for skin lesions segmentation and classification

(2019) Nooshin Moradi et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Multi-class multi-level classification algorithm for skin lesions classification using machine learning techniques

(2019) Nazia Hameed et al.   EXPERT SYSTEMS WITH APPLICATIONS

AI-Skin: Skin disease recognition based on self-learning and wide data collection through a closed-loop framework

(2019) Min Chen et al.   Information Fusion

Integrated design of deep features fusion for localization and classification of skin cancer

(2019) Javeria Amin et al.   PATTERN RECOGNITION LETTERS

Transform domain representation-driven convolutional neural networks for skin lesion segmentation

(2019) Mansoureh Pezhman Pour et al.   EXPERT SYSTEMS WITH APPLICATIONS

An improved bag of dense features for skin lesion recognition

(2019) Pawan Kumar Upadhyay et al.   Journal of King Saud University-Computer and Information Sciences

Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists

(2018) H A Haenssle et al.   ANNALS OF ONCOLOGY

Partial order label decomposition approaches for melanoma diagnosis

(2018) Javier Sánchez-Monedero et al.   APPLIED SOFT COMPUTING

Improvement in the diagnosis of melanoma and dysplastic lesions by introducing ABCD-PDT features and a hybrid classifier

(2018) Arezoo Zakeri et al.   Biocybernetics and Biomedical Engineering

A methodological approach to classify typical and atypical pigment network patterns for melanoma diagnosis

(2018) Sameena Pathan et al.   Biomedical Signal Processing and Control

Optimal selection of features using wavelet fractal descriptors and automatic correlation bias reduction for classifying skin lesions

(2018) Saptarshi Chatterjee et al.   Biomedical Signal Processing and Control

An implementation of normal distribution based segmentation and entropy controlled features selection for skin lesion detection and classification

(2018) M. Attique Khan et al.   BMC CANCER

Cancer statistics, 2018

(2018) Rebecca L. Siegel et al.   CA-A CANCER JOURNAL FOR CLINICIANS

Melanoma recognition in dermoscopy images using lesion's peripheral region information

(2018) Neda Zamani Tajeddin et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Automatic histologically-closer classification of skin lesions

(2018) Pedro Pedrosa Rebouças Filho et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Discrimination of skin cancer cells using Fourier transform infrared spectroscopy

(2018) Francisco Peñaranda et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Accessible Melanoma Detection using Smartphones and Mobile Image Analysis

(2018) Thanh-Toan Do et al.   IEEE TRANSACTIONS ON MULTIMEDIA

Fusion of structural and textural features for melanoma recognition

(2018) Faouzi Adjed et al.   IET Computer Vision

Automated Skin Lesion Segmentation of Dermoscopic Images using GrabCut and K-Means Algorithms

(2018) Mirunalini P et al.   IET Computer Vision

Deep Residual Network with Regularized Fisher Framework for Detection of Melanoma

(2018) Bappaditya Mandal et al.   IET Computer Vision

Intelligent skin cancer detection using enhanced particle swarm optimization

(2018) Teck Yan Tan et al.   KNOWLEDGE-BASED SYSTEMS

The skin cancer classification using deep convolutional neural network

(2018) Ulzii-Orshikh Dorj et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Discrimination of soft tissues using laser-induced breakdown spectroscopy in combination with k nearest neighbors (kNN) and support vector machine (SVM) classifiers

(2018) Xiaohui Li et al.   OPTICS AND LASER TECHNOLOGY

Melanocytic and nevus lesion detection from diseased dermoscopic images using fuzzy and wavelet techniques

(2018) Uzma Jamil et al.   SOFT COMPUTING

Biologically Inspired QuadTree Colour Detection in Dermoscopy Images of Melanoma

(2018) Sahar Sabbaghi M et al.   IEEE Journal of Biomedical and Health Informatics

7-Point Checklist and Skin Lesion Classification using Multi-Task Multi-Modal Neural Nets

(2018) Jeremy Kawahara et al.   IEEE Journal of Biomedical and Health Informatics

Statistical detection of colors in dermoscopic images with a texton-based estimation of probabilities

(2018) Aurora Saez et al.   IEEE Journal of Biomedical and Health Informatics

Accurate segmentation and registration of skin lesion images to evaluate lesion change

(2018) Fulgencio Navarro et al.   IEEE Journal of Biomedical and Health Informatics

Learning to Detect Blue-white Structures in Dermoscopy Images with Weak Supervision

(2018) Ali Madooei et al.   IEEE Journal of Biomedical and Health Informatics

DermaKNet: Incorporating the knowledge of dermatologists to Convolutional Neural Networks for skin lesion diagnosis

(2018) Ivan Gonzalez Diaz   IEEE Journal of Biomedical and Health Informatics

Active Contours Based Segmentation and Lesion Periphery Analysis For Characterization of Skin Lesions in Dermoscopy Images

(2018) Farhan Riaz et al.   IEEE Journal of Biomedical and Health Informatics

A novel cumulative level difference mean based GLDM and modified ABCD features ranked using eigenvector centrality approach for four skin lesion types classification

(2018) Maram A. Wahba et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Melanoma Recognition in Dermoscopy Images via Aggregated Deep Convolutional Features

(2018) Zhen Yu et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Denoising adversarial autoencoders: classifying skin lesions using limited labelled training data

(2018) Antonia Creswell et al.   IET Computer Vision

Evaluation of Levenberg–Marquardt neural networks and stacked autoencoders clustering for skin lesion analysis, screening and follow-up

(2018) Francesco Rundo et al.   IET Computer Vision

Skin lesion classification with ensembles of deep convolutional neural networks

(2018) Balazs Harangi   JOURNAL OF BIOMEDICAL INFORMATICS

An Intelligent System for Monitoring Skin Diseases

(2018) Dawid Połap et al.   SENSORS

Skin lesion segmentation and recognition using multichannel saliency estimation and M-SVM on selected serially fused features

(2018) Tallha Akram et al.   Journal of Ambient Intelligence and Humanized Computing

The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions

(2018) Philipp Tschandl et al.   Scientific Data

Segmentation of skin lesions in dermoscopy images using fuzzy classification of pixels and histogram thresholding

(2018) Jose Luis Garcia-Arroyo et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Fusing fine-tuned deep features for skin lesion classification

(2018) Amirreza Mahbod et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Domain-specific classification-pretrained fully convolutional network encoders for skin lesion segmentation

(2018) Philipp Tschandl et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Automated detection of erythema migrans and other confounding skin lesions via deep learning

(2018) Philippe M. Burlina et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Automatic skin lesions segmentation based on a new morphological approach via geodesic active contour

(2018) Francisco Fábio Ximenes Vasconcelos et al.   Cognitive Systems Research

Merkel cell carcinoma: Epidemiology, prognosis, therapy and unmet medical needs

(2017) Dirk Schadendorf et al.   EUROPEAN JOURNAL OF CANCER

Bagged textural and color features for melanoma skin cancer detection in dermoscopic and standard images

(2017) Naser Alfed et al.   EXPERT SYSTEMS WITH APPLICATIONS

Multispectral skin patterns analysis using fractal methods

(2017) Karol Przystalski et al.   EXPERT SYSTEMS WITH APPLICATIONS

Effective features to classify skin lesions in dermoscopic images

(2017) Zhen Ma et al.   EXPERT SYSTEMS WITH APPLICATIONS

Skin lesion segmentation using deep convolution networks guided by local unsupervised learning

(2017) B. Bozorgtabar et al.   IBM JOURNAL OF RESEARCH AND DEVELOPMENT

Melanoma Classification on Dermoscopy Images Using a Neural Network Ensemble Model

(2017) Fengying Xie et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks

(2017) Lequan Yu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Automatic Skin Lesion Segmentation Using Deep Fully Convolutional Networks With Jaccard Distance

(2017) Yading Yuan et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

WN-based approach to melanoma diagnosis from dermoscopy images

(2017) Amir Reza Sadri et al.   IET Image Processing

A Network Meta-Analysis of Non-Melanoma Skin Cancer (NMSC) Treatments: Efficacy and Safety Assessment

(2017) Renrong Lv et al.   JOURNAL OF CELLULAR BIOCHEMISTRY

Nonlinear Analysis of the Contour Boundary Irregularity of Skin Lesion Using Lyapunov Exponent and K-S Entropy

(2017) Hamed Khodadadi et al.   Journal of Medical and Biological Engineering

Segmentation and classification of melanoma and benign skin lesions

(2017) Fekrache Dalila et al.   OPTIK

Automated Detection and Segmentation of Vascular Structures of Skin Lesions Seen in Dermoscopy, With an Application to Basal Cell Carcinoma Classification

(2017) Pegah Kharazmi et al.   IEEE Journal of Biomedical and Health Informatics

Analysis of Trends in US Melanoma Incidence and Mortality

(2017) Alex M. Glazer et al.   JAMA Dermatology

Merkel cell carcinoma

(2017) Jürgen C. Becker et al.   Nature Reviews Disease Primers

Melanoma Is Skin Deep: A 3D Reconstruction Technique for Computerized Dermoscopic Skin Lesion Classification

(2017) T. Y. Satheesha et al.   IEEE Journal of Translational Engineering in Health and Medicine-JTEHM

Computer-aided diagnosis of psoriasis skin images with HOS, texture and color features: A first comparative study of its kind

(2016) Vimal K. Shrivastava et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

A comparison of classification methods as diagnostic system: A case study on skin lesions

(2016) Suhail M. Odeh et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Skin lesion image segmentation using Delaunay Triangulation for melanoma detection

(2016) Andrea Pennisi et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Differential diagnosis of squamous cell carcinoma in situ using skin histopathological images

(2016) Navid Noroozi et al.   COMPUTERS IN BIOLOGY AND MEDICINE

A computational approach for detecting pigmented skin lesions in macroscopic images

(2016) Roberta B. Oliveira et al.   EXPERT SYSTEMS WITH APPLICATIONS

Development of a System Classification of Images Dermoscopic for Mobile Devices

(2016) Francisco Eduardo Silva Alencar et al.   IEEE Latin America Transactions

Machine Learning Methods for Binary and Multiclass Classification of Melanoma Thickness From Dermoscopic Images

(2016) Aurora Saez et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Classification of malignant melanoma and benign skin lesions: implementation of automatic ABCD rule

(2016) Reda Kasmi et al.   IET Image Processing

Computer assisted diagnosis of basal cell carcinoma using Z-transform features

(2016) Navid Noroozi et al.   JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION

Paraconsistent analysis network applied in the treatment of Raman spectroscopy data to support medical diagnosis of skin cancer

(2016) João Inácio Da Silva Filho et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Computational methods for pigmented skin lesion classification in images: review and future trends

(2016) Roberta B. Oliveira et al.   NEURAL COMPUTING & APPLICATIONS

Vitamin D deficiency is associated with a worse prognosis in metastatic melanoma

(2016) Dmitriy Timerman et al.   Oncotarget

Basal cell carcinoma, squamous cell carcinoma and melanoma of the head and face

(2016) L. Feller et al.   Head & Face Medicine

A Novel Approach to Segment Skin Lesions in Dermoscopic Images Based on a Deformable Model

(2016) Zhen Ma et al.   IEEE Journal of Biomedical and Health Informatics

Segmentation of skin lesion using Cohen–Daubechies–Feauveau biorthogonal wavelet

(2016) Shehzad Khalid et al.   SpringerPlus

MED-NODE: A computer-assisted melanoma diagnosis system using non-dermoscopic images

(2015) Ioannis Giotis et al.   EXPERT SYSTEMS WITH APPLICATIONS

High-Level Intuitive Features (HLIFs) for Intuitive Skin Lesion Description

(2015) Robert Amelard et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Probabilistic Multiple Sclerosis Lesion Classification Based on Modeling Regional Intensity Variability and Local Neighborhood Information

(2015) Rola Harmouche et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Four-Class Classification of Skin Lesions With Task Decomposition Strategy

(2015) Kouhei Shimizu et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Content-based image retrieval in dermatology using intelligent technique

(2015) Gnanasigamony Wiselin Jiji et al.   IET Image Processing

Automated segmentation of the epidermis area in skin whole slide histopathological images

(2015) Cheng Lu et al.   IET Image Processing

Exploring Robust Diagnostic Signatures for Cutaneous Melanoma Utilizing Genetic and Imaging Data

(2015) Ioannis Valavanis et al.   IEEE Journal of Biomedical and Health Informatics

Noninvasive Real-Time Automated Skin Lesion Analysis System for Melanoma Early Detection and Prevention

(2015) Omar Abuzaghleh et al.   IEEE Journal of Translational Engineering in Health and Medicine-JTEHM

Automated Quantification of Clinically Significant Colors in Dermoscopy Images and Its Application to Skin Lesion Classification

(2014) M. Emre Celebi et al.   IEEE Systems Journal

Segmentation of Skin Lesions From Digital Images Using Joint Statistical Texture Distinctiveness

(2014) Jeffrey Glaister et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Model-Based Classification Methods of Global Patterns in Dermoscopic Images

(2014) Aurora Saez et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Improving Dermoscopy Image Classification Using Color Constancy

(2014) Ana Fidalgo Barata et al.   IEEE Journal of Biomedical and Health Informatics

An ensemble classification approach for melanoma diagnosis

(2014) Gerald Schaefer et al.   Memetic Computing

Detection of pigment network in dermoscopy images using supervised machine learning and structural analysis

(2013) Jose Luis García Arroyo et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Two Systems for the Detection of Melanomas in Dermoscopy Images Using Texture and Color Features

(2013) Catarina Barata et al.   IEEE Systems Journal

Computerized analysis of pigmented skin lesions: A review

(2012) Konstantin Korotkov et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Toward a combined tool to assist dermatologists in melanoma detection from dermoscopic images of pigmented skin lesions

(2011) Germán Capdehourat et al.   PATTERN RECOGNITION LETTERS

The Evolution of Melanoma Diagnosis: 25 Years Beyond the ABCDs

(2010) D. S. Rigel et al.   CA-A CANCER JOURNAL FOR CLINICIANS

Epidemiology of Skin Cancer: Role of Some Environmental Factors

(2010) Gabriella Fabbrocini et al.   Cancers

Systematic review of dermoscopy and digital dermoscopy/ artificial intelligence for the diagnosis of melanoma

(2009) S.M. Rajpara et al.   BRITISH JOURNAL OF DERMATOLOGY

Overview of Advanced Computer Vision Systems for Skin Lesions Characterization

(2009) I. Maglogiannis et al.   IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE

Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement

(2009) David Moher et al.   PLOS MEDICINE

The Diagnostic Performance of Expert Dermoscopists vs a Computer-Vision System on Small-Diameter Melanomas

(2008) Robert J. Friedman et al.   ARCHIVES OF DERMATOLOGY

Dermoscopy compared with naked eye examination for the diagnosis of primary melanoma: a meta-analysis of studies performed in a clinical setting

(2008) M.E. Vestergaard et al.   BRITISH JOURNAL OF DERMATOLOGY

Digital Image Analysis for Diagnosis of Skin Tumors

(2008) Andreas Blum et al.   SEMINARS IN CUTANEOUS MEDICINE AND SURGERY