Deep Learning in Cancer Diagnosis and Prognosis Prediction: A Minireview on Challenges, Recent Trends, and Future Directions

Going deeper: magnification‐invariant approach for breast cancer classification using histopathological images

(2021) S. Alkassar et al.   IET Computer Vision

Data preparation for artificial intelligence in medical imaging: A comprehensive guide to open-access platforms and tools

(2021) Oliver Diaz et al.   Physica Medica-European Journal of Medical Physics

Automatic and accurate abnormality detection from brain MR images using a novel hybrid UnetResNext-50 deep CNN model

(2021) Hari Mohan Rai et al.   Biomedical Signal Processing and Control

A novel solution of using deep learning for prostate cancer segmentation: enhanced batch normalization

(2021) Sushma Shrestha et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Medical image recognition and segmentation of pathological slices of gastric cancer based on Deeplab v3+ neural network

(2021) Jing Wang et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

DFP-ResUNet:Convolutional Neural Network with a Dilated Convolutional Feature Pyramid for Multimodal Brain Tumor Segmentation

(2021) Jingjing Wang et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

ExplAIn: Explanatory artificial intelligence for diabetic retinopathy diagnosis

(2021) Gwenolé Quellec et al.   MEDICAL IMAGE ANALYSIS

Reduced-Complexity LDPC Decoding for Next-Generation IoT Networks

(2021) Muhammad Asif et al.   WIRELESS COMMUNICATIONS & MOBILE COMPUTING

Exploiting Feature Selection and Neural Network Techniques for Identification of Focal and Nonfocal EEG Signals in TQWT Domain

(2021) Muhammad Tariq Sadiq et al.   Journal of Healthcare Engineering

Model-Driven Deep Learning Method for Pancreatic Cancer Segmentation Based on Spiral-Transformation

(2021) Xiahan Chen et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Conventional Machine Learning and Deep Learning Approach for Multi-Classification of Breast Cancer Histopathology Images—a Comparative Insight

(2020) Shallu Sharma et al.   JOURNAL OF DIGITAL IMAGING

Computer-Aided Pathological Diagnosis of Nasopharyngeal Carcinoma Based on Deep Learning

(2020) Songhui Diao et al.   AMERICAN JOURNAL OF PATHOLOGY

Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multi-center study

(2020) D. Dong et al.   ANNALS OF ONCOLOGY

Deep Learning Predicts Molecular Subtype of Muscle-invasive Bladder Cancer from Conventional Histopathological Slides

(2020) Ann-Christin Woerl et al.   EUROPEAN UROLOGY

Deep‐Learning Detection of Cancer Metastases to the Brain on MRI

(2020) Min Zhang et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Auto-segmentation of pancreatic tumor in multi-parametric MRI using deep convolutional neural networks

(2020) Ying Liang et al.   RADIOTHERAPY AND ONCOLOGY

Brain Tumor Segmentation Using an Ensemble of 3D U-Nets and Overall Survival Prediction Using Radiomic Features

(2020) Xue Feng et al.   Frontiers in Computational Neuroscience

Automated Detection and Segmentation of Early Gastric Cancer from Endoscopic Images Using Mask R-CNN

(2020) Tomoyuki Shibata et al.   Applied Sciences-Basel

Classification of Brain Tumors from MRI Images Using a Convolutional Neural Network

(2020) Milica M. Badža et al.   Applied Sciences-Basel

Artificial Intelligence-Based Mitosis Detection in Breast Cancer Histopathology Images Using Faster R-CNN and Deep CNNs

(2020) Tahir Mahmood et al.   Journal of Clinical Medicine

Brain tumor segmentation and grading of lower-grade glioma using deep learning in MRI images

(2020) Mohamed A. Naser et al.   COMPUTERS IN BIOLOGY AND MEDICINE

A deep learning methodology for improved breast cancer diagnosis using multiparametric MRI

(2020) Qiyuan Hu et al.   Scientific Reports

Efficient Deep Learning Architecture for Detection and Recognition of Thyroid Nodules

(2020) Jingzhe Ma et al.   Computational Intelligence and Neuroscience

Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists

(2020) Muhammad Attique Khan et al.   Diagnostics

A multi-path adaptive fusion network for multimodal brain tumor segmentation

(2020) Yi Ding et al.   NEUROCOMPUTING

Segmentation of the multimodal brain tumor image used the multi-pathway architecture method based on 3D FCN

(2020) Jindong Sun et al.   NEUROCOMPUTING

Simple low-cost approaches to semantic segmentation in radiation therapy planning for prostate cancer using deep learning with non-contrast planning CT images

(2020) Takafumi Nemoto et al.   Physica Medica-European Journal of Medical Physics

NucleiSegNet: Robust deep learning architecture for the nuclei segmentation of liver cancer histopathology images

(2020) Shyam Lal et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Deep learning framework based on integration of S-Mask R-CNN and Inception-v3 for ultrasound image-aided diagnosis of prostate cancer

(2020) Zhiyong Liu et al.   Future Generation Computer Systems-The International Journal of eScience

Development of a light‐weight deep learning model for cloud applications and remote diagnosis of skin cancers

(2020) Hsin‐Wei Huang et al.   JOURNAL OF DERMATOLOGY

Automated Diagnosis of Various Gastrointestinal Lesions Using a Deep Learning–Based Classification and Retrieval Framework With a Large Endoscopic Database: Model Development and Validation

(2020) Muhammad Owais et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Deep learning-enabled breast cancer hormonal receptor status determination from base-level H&E stains

(2020) Nikhil Naik et al.   Nature Communications

Interpretable deep learning systems for multi-class segmentation and classification of non-melanoma skin cancer

(2020) Simon M. Thomas et al.   MEDICAL IMAGE ANALYSIS

Computer-assisted medical image classification for early diagnosis of oral cancer employing deep learning algorithm

(2019) Pandia Rajan Jeyaraj et al.   JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY

Urban environment and cancer in wildlife: available evidence and future research avenues

(2019) Tuul Sepp et al.   PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES

SALMON: Survival Analysis Learning With Multi-Omics Neural Networks on Breast Cancer

(2019) Zhi Huang et al.   Frontiers in Genetics

Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study

(2019) Jakob Nikolas Kather et al.   PLOS MEDICINE

A Novel Deep Learning based Framework for the Detection and Classification of Breast Cancer Using Transfer Learning

(2019) SanaUllah Khan et al.   PATTERN RECOGNITION LETTERS

How to follow metabolic clues to find cancer’s Achilles heel

(2019) Vivien Marx   NATURE METHODS

Weakly supervised 3D deep learning for breast cancer classification and localization of the lesions in MR images

(2019) Juan Zhou et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network

(2019) Md Zahangir Alom et al.   JOURNAL OF DIGITAL IMAGING

Classification of breast cancer histology images using incremental boosting convolution networks

(2019) Duc My Vo et al.   INFORMATION SCIENCES

Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge

(2019) Mitko Veta et al.   MEDICAL IMAGE ANALYSIS

Breast Cancer Multi-classification through Deep Neural Network and Hierarchical Classification Approach

(2019) Ghulam Murtaza et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Skin cancer detection by deep learning and sound analysis algorithms: A prospective clinical study of an elementary dermoscope

(2019) A. Dascalu et al.   EBioMedicine

A deep survival analysis method based on ranking

(2019) Bingzhong Jing et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

An anchor-free region proposal network for Faster R-CNN-based text detection approaches

(2019) Zhuoyao Zhong et al.   International Journal on Document Analysis and Recognition

Breast Cancer Detection and Diagnosis Using Mammographic Data: Systematic Review

(2019) Syed Jamal Safdar Gardezi et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Clinical-grade computational pathology using weakly supervised deep learning on whole slide images

(2019) Gabriele Campanella et al.   NATURE MEDICINE

A 23 gene–based molecular prognostic score precisely predicts overall survival of breast cancer patients

(2019) Hideyuki Shimizu et al.   EBioMedicine

Augmented Bladder Tumor Detection Using Deep Learning

(2019) Eugene Shkolyar et al.   EUROPEAN UROLOGY

Recent Trends in Computer Assisted Diagnosis (CAD) System for Breast Cancer Diagnosis Using Histopathological Images

(2019) C. Kaushal et al.   IRBM

Statistical genomics in rare cancer

(2019) Farnoosh Abbas-Aghababazadeh et al.   SEMINARS IN CANCER BIOLOGY

Automated Lung Nodule Detection and Classification Using Deep Learning Combined with Multiple Strategies

(2019) Nasrullah Nasrullah et al.   SENSORS

Superior skin cancer classification by the combination of human and artificial intelligence

(2019) Achim Hekler et al.   EUROPEAN JOURNAL OF CANCER

TOP-GAN: Stain-free cancer cell classification using deep learning with a small training set

(2019) Moran Rubin et al.   MEDICAL IMAGE ANALYSIS

Deep learning-based classification of mesothelioma improves prediction of patient outcome

(2019) Pierre Courtiol et al.   NATURE MEDICINE

BreastNet: A novel convolutional neural network model through histopathological images for the diagnosis of breast cancer

(2019) Mesut Toğaçar et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Deep Learning to Improve Breast Cancer Detection on Screening Mammography

(2019) Li Shen et al.   Scientific Reports

Identification of 12 cancer types through genome deep learning

(2019) Yingshuai Sun et al.   Scientific Reports

DNA Methylation Markers for Pan-Cancer Prediction by Deep Learning

(2019) Liu et al.   Genes

Computer-aided diagnosis system combining FCN and Bi-LSTM model for efficient breast cancer detection from histopathological images

(2019) Ümit Budak et al.   APPLIED SOFT COMPUTING

Extracting comprehensive clinical information for breast cancer using deep learning methods

(2019) Xiaohui Zhang et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

Active deep neural network features selection for segmentation and recognition of brain tumors using MRI images

(2019) Muhammad Irfan Sharif et al.   PATTERN RECOGNITION LETTERS

A 3D Probabilistic Deep Learning System for Detection and Diagnosis of Lung Cancer Using Low-Dose CT Scans

(2019) Onur Ozdemir et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep Learning-Based Gleason Grading of Prostate Cancer From Histopathology Images—Role of Multiscale Decision Aggregation and Data Augmentation

(2019) Davood Karimi et al.   IEEE Journal of Biomedical and Health Informatics

Deep Learning-Based Classification of Liver Cancer Histopathology Images Using Only Global Labels

(2019) Chunli Sun et al.   IEEE Journal of Biomedical and Health Informatics

Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis

(2019) Xi Wang et al.   IEEE Transactions on Cybernetics

MuDeRN: Multi-category classification of breast histopathological image using deep residual networks

(2018) Ziba Gandomkar et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network

(2018) Jared L. Katzman et al.   BMC Medical Research Methodology

Genetic Mosaicism and Cancer: Cause and Effect

(2018) Anatoly V. Lichtenstein   CANCER RESEARCH

A performance comparison between shallow and deeper neural networks supervised classification of tomosynthesis breast lesions images

(2018) Vitoantonio Bevilacqua et al.   Cognitive Systems Research

Innate sensing of cancer's non-immunologic hallmarks

(2018) Ruth Seelige et al.   CURRENT OPINION IN IMMUNOLOGY

A multimodal deep neural network for human breast cancer prognosis prediction by integrating multi-dimensional data

(2018) Dongdong Sun et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification

(2018) Mugahed A. Al-antari et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

Predicting cancer outcomes from histology and genomics using convolutional networks

(2018) Pooya Mobadersany et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Psycho-oncology: Overview, obstacles and opportunities

(2018) Jimmie C. Holland   PSYCHO-ONCOLOGY

Defeating Cancers’ Adaptive Defensive Strategies Using Thermal Therapies: Examining Cancer’s Therapeutic Resistance, Ablative, and Computational Modeling Strategies as a means for Improving Therapeutic Outcome

(2018) John M. Baust et al.   TECHNOLOGY IN CANCER RESEARCH & TREATMENT

Deep learning based tissue analysis predicts outcome in colorectal cancer

(2018) Dmitrii Bychkov et al.   Scientific Reports

Cox-nnet: An artificial neural network method for prognosis prediction of high-throughput omics data

(2018) Travers Ching et al.   PLoS Computational Biology

Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks

(2018) Moi Hoon Yap et al.   IEEE Journal of Biomedical and Health Informatics

1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset

(2018) Geert Litjens et al.   GigaScience

Classification of Breast Cancer Based on Histology Images Using Convolutional Neural Networks

(2018) Dalal Bardou et al.   IEEE Access

Machine Learning Methods for Histopathological Image Analysis

(2018) Daisuke Komura et al.   Computational and Structural Biotechnology Journal

History and evolution of cytogenetic techniques: Current and future applications in basic and clinical research

(2018) Adayabalam S. Balajee et al.   MUTATION RESEARCH-GENETIC TOXICOLOGY AND ENVIRONMENTAL MUTAGENESIS

Pretreatment Identification of Head and Neck Cancer Nodal Metastasis and Extranodal Extension Using Deep Learning Neural Networks

(2018) Benjamin H. Kann et al.   Scientific Reports

Artificial Intelligence–Based Breast Cancer Nodal Metastasis Detection

(2018) Yun Liu et al.   ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE

PASNet: pathway-associated sparse deep neural network for prognosis prediction from high-throughput data

(2018) Jie Hao et al.   BMC BIOINFORMATICS

A mix-pooling CNN architecture with FCRF for brain tumor segmentation

(2018) Jie Chang et al.   JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION

Breast mass classification in sonography with transfer learning using a deep convolutional neural network and color conversion

(2018) Michal Byra et al.   MEDICAL PHYSICS

Classification of acute lymphoblastic leukemia using deep learning

(2018) Amjad Rehman et al.   MICROSCOPY RESEARCH AND TECHNIQUE

Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer

(2018) Shuo Wang et al.   RADIOTHERAPY AND ONCOLOGY

Multiple instance learning for histopathological breast cancer image classification

(2018) P.J. Sudharshan et al.   EXPERT SYSTEMS WITH APPLICATIONS

Deep learning based liver cancer detection using watershed transform and Gaussian mixture model techniques

(2018) Amita Das et al.   Cognitive Systems Research

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer

(2017) Babak Ehteshami Bejnordi et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Residual Deep Convolutional Neural Network Predicts MGMT Methylation Status

(2017) Panagiotis Korfiatis et al.   JOURNAL OF DIGITAL IMAGING

Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge

(2017) Arnaud Arindra Adiyoso Setio et al.   MEDICAL IMAGE ANALYSIS

Classification of breast cancer histology images using Convolutional Neural Networks

(2017) Teresa Araújo et al.   PLoS One

Breast Cancer Multi-classification from Histopathological Images with Structured Deep Learning Model

(2017) Zhongyi Han et al.   Scientific Reports

A Dataset for Breast Cancer Histopathological Image Classification

(2016) Fabio A. Spanhol et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Measuring cancer evolution from the genome

(2016) Trevor A Graham et al.   JOURNAL OF PATHOLOGY

MO-DE-207B-06: Computer-Aided Diagnosis of Breast Ultrasound Images Using Transfer Learning From Deep Convolutional Neural Networks

(2016) B Huynh et al.   MEDICAL PHYSICS

What do people fear about cancer? A systematic review and meta-synthesis of cancer fears in the general population

(2016) Charlotte Vrinten et al.   PSYCHO-ONCOLOGY

Global Cancer Incidence and Mortality Rates and Trends--An Update

(2015) L. A. Torre et al.   CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

(2015) Bjoern H. Menze et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

An integrated map of structural variation in 2,504 human genomes

(2015) Peter H. Sudmant et al.   NATURE

Deep learning

(2015) Yann LeCun et al.   NATURE

BioGPS: building your own mash-up of gene annotations and expression profiles

(2015) Chunlei Wu et al.   NUCLEIC ACIDS RESEARCH

External validation of a Cox prognostic model: principles and methods

(2013) Patrick Royston et al.   BMC Medical Research Methodology

The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups

(2012) Christina Curtis et al.   NATURE

INbreast

(2011) Inês C. Moreira et al.   ACADEMIC RADIOLOGY

The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans

(2011) Samuel G. Armato et al.   MEDICAL PHYSICS

GATExplorer: Genomic and Transcriptomic Explorer; mapping expression probes to gene loci, transcripts, exons and ncRNAs

(2010) Alberto Risueño et al.   BMC BIOINFORMATICS

NCBI GEO: archive for functional genomics data sets--10 years on

(2010) T. Barrett et al.   NUCLEIC ACIDS RESEARCH

Improved grading and survival prediction of human astrocytic brain tumors by artificial neural network analysis of gene expression microarray data

(2008) L. P. Petalidis et al.   MOLECULAR CANCER THERAPEUTICS