PlexusNet: A neural network architectural concept for medical image classification

CXAI: Explaining Convolutional Neural Networks for Medical Imaging Diagnostic

(2022) Zakaria Rguibi et al.   Electronics

Green Algorithms: Quantifying the Carbon Footprint of Computation

(2021) Loïc Lannelongue et al.   Advanced Science

The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation

(2020) Davide Chicco et al.   BMC GENOMICS

A deep learning system for differential diagnosis of skin diseases

(2020) Yuan Liu et al.   NATURE MEDICINE

Theoretical issues in deep networks

(2020) Tomaso Poggio et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy

(2020) Hanna Borgli et al.   Scientific Data

A scoping review of transfer learning research on medical image analysis using ImageNet

(2020) Mohammad Amin Morid et al.   COMPUTERS IN BIOLOGY AND MEDICINE

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

(2019) Jakob Nikolas Kather et al.   PLOS MEDICINE

Deep Multi-path Convolutional Neural Network Joint with Salient Region Attention for Facial Expression Recognition

(2019) Siyue Xie et al.   PATTERN RECOGNITION

Deep learning for automatic Gleason pattern classification for grade group determination of prostate biopsies

(2019) Marit Lucas et al.   VIRCHOWS ARCHIV

Author Correction: Automated Gleason grading of prostate cancer tissue microarrays via deep learning

(2019) Eirini Arvaniti et al.   Scientific Reports

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

(2019) Gabriele Campanella et al.   NATURE MEDICINE

Definitions, methods, and applications in interpretable machine learning

(2019) W. James Murdoch et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning

(2018) Daniel S. Kermany et al.   CELL

A Survey of Data Mining and Deep Learning in Bioinformatics

(2018) Kun Lan et al.   JOURNAL OF MEDICAL SYSTEMS

Weighted kappa loss function for multi-class classification of ordinal data in deep learning

(2018) Jordi de la Torre et al.   PATTERN RECOGNITION LETTERS

Automated Gleason grading of prostate cancer tissue microarrays via deep learning

(2018) Eirini Arvaniti et al.   Scientific Reports

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

(2018) Philipp Tschandl et al.   Scientific Data

Sparse coding of pathology slides compared to transfer learning with deep neural networks

(2018) Will Fischer et al.   BMC BIOINFORMATICS

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Multi-class texture analysis in colorectal cancer histology

(2016) Jakob Nikolas Kather et al.   Scientific Reports

Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis

(2016) Geert Litjens et al.   Scientific Reports