Lung cancer subtype classification using histopathological images based on weakly supervised multi-instance learning
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Lung cancer subtype classification using histopathological images based on weakly supervised multi-instance learning
Authors
Keywords
-
Journal
PHYSICS IN MEDICINE AND BIOLOGY
Volume 66, Issue 23, Pages 235013
Publisher
IOP Publishing
Online
2021-11-19
DOI
10.1088/1361-6560/ac3b32
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Therapy for Stage IV Non–Small-Cell Lung Cancer With Driver Alterations: ASCO and OH (CCO) Joint Guideline Update
- (2021) Nasser H. Hanna et al. JOURNAL OF CLINICAL ONCOLOGY
- Data-efficient and weakly supervised computational pathology on whole-slide images
- (2021) Ming Y. Lu et al. Nature Biomedical Engineering
- A multi-resolution model for histopathology image classification and localization with multiple instance learning
- (2021) Jiayun Li et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Colorectal cancer statistics, 2020
- (2020) Rebecca L. Siegel et al. CA-A CANCER JOURNAL FOR CLINICIANS
- The Newly Described Filigree Pattern Is an Expansion of the Micropapillary Adenocarcinoma Concept Rather Than a Proposed New Subtype
- (2020) Katsura Emoto et al. Journal of Thoracic Oncology
- Stain Standardization Capsule for Application-Driven Histopathological Image Normalization
- (2020) Yushan Zheng et al. IEEE Journal of Biomedical and Health Informatics
- Deep Learning Methods for Lung Cancer Segmentation in Whole-Slide Histopathology Images—The ACDC@LungHP Challenge 2019
- (2020) Zhang Li et al. IEEE Journal of Biomedical and Health Informatics
- 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
- RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification
- (2019) Shujun Wang et al. MEDICAL IMAGE ANALYSIS
- Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis
- (2019) Xi Wang et al. IEEE Transactions on Cybernetics
- Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
- (2018) Nicolas Coudray et al. NATURE MEDICINE
- Classifying and segmenting microscopy images with deep multiple instance learning
- (2016) Oren Z. Kraus et al. BIOINFORMATICS
- A Dataset for Breast Cancer Histopathological Image Classification
- (2016) Fabio A. Spanhol et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features
- (2016) Kun-Hsing Yu et al. Nature Communications
- New Pathologic Classification of Lung Cancer: Relevance for Clinical Practice and Clinical Trials
- (2013) William D. Travis et al. JOURNAL OF CLINICAL ONCOLOGY
- Computer-aided prognosis of neuroblastoma on whole-slide images: Classification of stromal development
- (2008) O. Sertel et al. PATTERN RECOGNITION
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More