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

Trophectoderm segmentation in human embryo images via inceptioned U-Net

(2020) Reza Moradi Rad et al.   MEDICAL IMAGE ANALYSIS

Recognizing Basal Cell Carcinoma on Smartphone‐Captured Digital Histopathology Images with Deep Neural Network

(2019) Y.Q. Jiang et al.   BRITISH JOURNAL OF DERMATOLOGY

Digital pathology and artificial intelligence

(2019) Muhammad Khalid Khan Niazi et al.   LANCET ONCOLOGY

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

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

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

(2019) Gabriele Campanella et al.   NATURE MEDICINE

Deep learning based tissue analysis predicts outcome in colorectal cancer

(2018) Dmitrii Bychkov et al.   Scientific Reports

Not Just Digital Pathology, Intelligent Digital Pathology

(2018) Balazs Acs et al.   JAMA Oncology

Deep convolutional neural networks for classifying head and neck cancer using hyperspectral imaging

(2017) Martin Halicek et al.   JOURNAL OF BIOMEDICAL OPTICS

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

An unsupervised feature learning framework for basal cell carcinoma image analysis

(2015) John Arevalo et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Automated analysis and diagnosis of skin melanoma on whole slide histopathological images

(2015) Cheng Lu et al.   PATTERN RECOGNITION

Incidence Estimate of Nonmelanoma Skin Cancer (Keratinocyte Carcinomas) in the US Population, 2012

(2015) Howard W. Rogers et al.   JAMA Dermatology

scikit-image: image processing in Python

(2014) Stéfan van der Walt et al.   PeerJ