A multi-resolution model for histopathology image classification and localization with multiple instance learning

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

(2020) Wouter Bulten et al.   LANCET ONCOLOGY

Development and Validation of a Deep Learning Algorithm for Gleason Grading of Prostate Cancer From Biopsy Specimens

(2020) Kunal Nagpal et al.   JAMA Oncology

Cancer statistics, 2019

(2019) Rebecca L. Siegel et al.   CA-A CANCER JOURNAL FOR CLINICIANS

Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis

(2019) Veronika Cheplygina et al.   MEDICAL IMAGE ANALYSIS

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

(2019) Gabriele Campanella et al.   NATURE MEDICINE

A new optical density granulometry-based descriptor for the classification of prostate histological images using shallow and deep Gaussian processes

(2019) Ángel E. Esteban et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification

(2019) Shujun Wang et al.   MEDICAL IMAGE ANALYSIS

Efficient deep learning model for mitosis detection using breast histopathology images

(2018) Monjoy Saha et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Multi-Instance Multi-Label Learning for Multi-Class Classification of Whole Slide Breast Histopathology Images

(2018) Caner Mercan et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Multiple instance learning: A survey of problem characteristics and applications

(2018) Marc-André Carbonneau et al.   PATTERN RECOGNITION

Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success

(2018) James H. Thrall et al.   Journal of the American College of Radiology

An EM-based semi-supervised deep learning approach for semantic segmentation of histopathological images from radical prostatectomies

(2018) Jiayun Li et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Multimodal Radiomic Features for the Predicting Gleason Score of Prostate Cancer

(2018) Ahmad Chaddad et al.   Cancers

Predicting Gleason Score of Prostate Cancer Patients Using Radiomic Analysis

(2018) Ahmad Chaddad et al.   Frontiers in Oncology

Path R-CNN for Prostate Cancer Diagnosis and Gleason Grading of Histological Images

(2018) Wenyuan Li et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Constrained Deep Weak Supervision for Histopathology Image Segmentation

(2017) Zhipeng Jia et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A Contemporary Prostate Cancer Grading System: A Validated Alternative to the Gleason Score

(2016) Jonathan I. Epstein et al.   EUROPEAN UROLOGY

On Combining Multiple-Instance Learning and Active Learning for Computer-Aided Detection of Tuberculosis

(2016) Jaime Melendez et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Multiple-Instance Learning for Anomaly Detection in Digital Mammography

(2016) Gwenole Quellec et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart Recognition

(2016) Zhennan Yan et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

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

(2016) Geert Litjens et al.   Scientific Reports

Machine learning approaches to analyze histological images of tissues from radical prostatectomies

(2015) Arkadiusz Gertych et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

A Novel Multiple-Instance Learning-Based Approach to Computer-Aided Detection of Tuberculosis on Chest X-Rays

(2015) Jaime Melendez et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Multiple instance classification: Review, taxonomy and comparative study

(2013) Jaume Amores   ARTIFICIAL INTELLIGENCE

Prostate cancer grading: Gland segmentation and structural features

(2011) Kien Nguyen et al.   PATTERN RECOGNITION LETTERS

A Boosted Bayesian Multiresolution Classifier for Prostate Cancer Detection From Digitized Needle Biopsies

(2010) S. Doyle et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING