Skin lesion classification of dermoscopic images using machine learning and convolutional neural network

Hash-Based Deep Learning Approach for Remote Sensing Satellite Imagery Detection

(2022) Samhitha Gadamsetty et al.   Water

Enhancement of Detection of Diabetic Retinopathy Using Harris Hawks Optimization with Deep Learning Model

(2022) Nagaraja Gundluru et al.   Computational Intelligence and Neuroscience

Multiclass Skin Lesion Classification Using a Novel Lightweight Deep Learning Framework for Smart Healthcare

(2022) Long Hoang et al.   Applied Sciences-Basel

Diagnosis of Brain Tumor Using Light Weight Deep Learning Model with Fine-Tuning Approach

(2022) Tejas Shelatkar et al.   Computational and Mathematical Methods in Medicine

Pixels to Classes: Intelligent Learning Framework for Multiclass Skin Lesion Localization and Classification

(2021) Muhammad Attique Khan et al.   COMPUTERS & ELECTRICAL ENGINEERING

Attributes based skin lesion detection and recognition: A mask RCNN and transfer learning-based deep learning framework

(2021) Muhammad Attique Khan et al.   PATTERN RECOGNITION LETTERS

BCD-WERT: a novel approach for breast cancer detection using whale optimization based efficient features and extremely randomized tree algorithm

(2021) Shafaq Abbas et al.   PeerJ Computer Science

Classification of Skin Disease Using Deep Learning Neural Networks with MobileNet V2 and LSTM

(2021) Parvathaneni Naga Srinivasu et al.   SENSORS

Providing diagnosis on diabetes using cloud computing environment to the people living in rural areas of India

(2021) Dharmendra Singh Rajput et al.   Journal of Ambient Intelligence and Humanized Computing

DSNet: Automatic dermoscopic skin lesion segmentation

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

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

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

A DE-ANN Inspired Skin Cancer Detection Approach Using Fuzzy C-Means Clustering

(2020) Manoj Kumar et al.   MOBILE NETWORKS & APPLICATIONS

A multi-class skin Cancer classification using deep convolutional neural networks

(2020) Saket S. Chaturvedi 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

Skin lesion classification using decision trees and random forest algorithms

(2020) C. R. Dhivyaa et al.   Journal of Ambient Intelligence and Humanized Computing

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

Risk-Aware Machine Learning Classifier for Skin Lesion Diagnosis

(2019) Aryan Mobiny et al.   Journal of Clinical Medicine

Skin cancer diagnosis based on optimized convolutional neural network

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

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

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

(2018) Neda Zamani Tajeddin 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

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

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

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