Recognition of Cutaneous Melanoma on Digitized Histopathological Slides via Artificial Intelligence Algorithm

The 2018 World Health Organization Classification of Cutaneous, Mucosal, and Uveal Melanoma: Detailed Analysis of 9 Distinct Subtypes Defined by Their Evolutionary Pathway

(2020) David E. Elder et al.   ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE

Learning transferable features in deep convolutional neural networks for diagnosing unseen machine conditions

(2019) Te Han et al.   ISA TRANSACTIONS

Pathologist-level classification of histopathological melanoma images with deep neural networks

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

Machine learning approaches for pathologic diagnosis

(2019) Daisuke Komura et al.   VIRCHOWS ARCHIV

Deep learning outperformed 11 pathologists in the classification of histopathological melanoma images

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

An open source automated tumor infiltrating lymphocyte algorithm for prognosis in melanoma

(2019) Balazs Acs et al.   Nature Communications

Artificial Intelligence in Medicine: Where Are We Now?

(2019) Sagar Kulkarni et al.   ACADEMIC RADIOLOGY

Machine learning-based diagnosis of melanoma using macro images

(2018) Diwakar Gautam et al.   International Journal for Numerical Methods in Biomedical Engineering

Not Just Digital Pathology, Intelligent Digital Pathology

(2018) Balazs Acs et al.   JAMA Oncology

Deep Convolutional Neural Networks Enable Discrimination of Heterogeneous Digital Pathology Images

(2018) Pegah Khosravi et al.   EBioMedicine

Medical Image Analysis using Convolutional Neural Networks: A Review

(2018) Syed Muhammad Anwar et al.   JOURNAL OF MEDICAL SYSTEMS

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

Pathologists’ diagnosis of invasive melanoma and melanocytic proliferations: observer accuracy and reproducibility study

(2017) Joann G Elmore et al.   BMJ-British Medical Journal

Pathologists’ diagnosis of invasive melanoma and melanocytic proliferations: observer accuracy and reproducibility study

(2017) Joann G Elmore et al.   BMJ-British Medical Journal

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

(2016) Hoo-Chang Shin et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Novel Approaches for Diagnosing Melanoma Skin Lesions Through Supervised and Deep Learning Algorithms

(2016) J. Premaladha et al.   JOURNAL OF MEDICAL SYSTEMS

Image analysis and machine learning in digital pathology: Challenges and opportunities

(2016) Anant Madabhushi et al.   MEDICAL IMAGE ANALYSIS

Cutaneous Malignant Melanoma

(2014) Ossama Abbas et al.   AMERICAN JOURNAL OF DERMATOPATHOLOGY

Discordance in the histopathologic diagnosis of melanoma at a melanoma referral center

(2010) B. Aika Shoo et al.   JOURNAL OF THE AMERICAN ACADEMY OF DERMATOLOGY