Quality control stress test for deep learning-based diagnostic model in digital pathology

Hidden Variables in Deep Learning Digital Pathology and Their Potential to Cause Batch Effects: Prediction Model Study

(2021) Max Schmitt et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study

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Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study

(2020) Wouter Bulten et al.   LANCET ONCOLOGY

Tailored for Real-World: A Whole Slide Image Classification System Validated on Uncurated Multi-Site Data Emulating the Prospective Pathology Workload

(2020) Julianna D. Ianni et al.   Scientific Reports

Impact of rescanning and normalization on convolutional neural network performance in multi-center, whole-slide classification of prostate cancer

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

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Digital pathology and artificial intelligence

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

Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer

(2019) Jakob Nikolas Kather et al.   NATURE MEDICINE

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

(2019) Gabriele Campanella et al.   NATURE MEDICINE

Detection of lung cancer lymph node metastases from whole-slide histopathological images using a two-step deep learning approach

(2019) Hoa Hoang Ngoc Pham et al.   AMERICAN JOURNAL OF PATHOLOGY

Artificial intelligence in digital pathology — new tools for diagnosis and precision oncology

(2019) Kaustav Bera et al.   Nature Reviews Clinical Oncology

Staining Invariant Features for Improving Generalization of Deep Convolutional Neural Networks in Computational Pathology

(2019) Sebastian Otálora et al.   Frontiers in Bioengineering and Biotechnology

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

(2019) Ramprasaath R. Selvaraju et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Focus Quality Assessment of High-Throughput Whole Slide Imaging in Digital Pathology

(2019) Mahdi S. Hosseini et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology

(2019) David Tellez et al.   MEDICAL IMAGE ANALYSIS

Towards machine learned quality control: A benchmark for sharpness quantification in digital pathology

(2018) Gabriele Campanella et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Adversarial Stain Transfer for Histopathology Image Analysis

(2018) Aicha Bentaieb et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Segmentation of glandular epithelium in colorectal tumours to automatically compartmentalise IHC biomarker quantification: a deep learning approach

(2018) Yves-Rémi Van Eycke et al.   MEDICAL IMAGE ANALYSIS

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

Deep learning based tissue analysis predicts outcome in colorectal cancer

(2018) Dmitrii Bychkov et al.   Scientific Reports

From detection of individual metastases to classification of lymph node status at the patient level: the CAMELYON17 challenge

(2018) Peter Bandi et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning

(2018) Nicolas Coudray et al.   NATURE MEDICINE

DeepFocus: Detection of out-of-focus regions in whole slide digital images using deep learning

(2018) Caglar Senaras et al.   PLoS One

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

Stain Specific Standardization of Whole-Slide Histopathological Images

(2016) Babak Ehteshami Bejnordi et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images

(2016) Abhishek Vahadane et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Image Sharpness Assessment by Sparse Representation

(2016) Leida Li et al.   IEEE TRANSACTIONS ON MULTIMEDIA

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

(2016) Anant Madabhushi et al.   MEDICAL IMAGE ANALYSIS

Identifying in vivo DCE MRI markers associated with microvessel architecture and gleason grades of prostate cancer

(2015) Asha Singanamalli et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Towards better digital pathology workflows: programming libraries for high-speed sharpness assessment of Whole Slide Images

(2015) David Ameisen et al.   Diagnostic Pathology

Validating Whole Slide Imaging for Diagnostic Purposes in Pathology: Guideline from the College of American Pathologists Pathology and Laboratory Quality Center

(2013) Liron Pantanowitz et al.   ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE