Sampling Based Tumor Recognition in Whole-Slide Histology Image With Deep Learning Approaches
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Sampling Based Tumor Recognition in Whole-Slide Histology Image With Deep Learning Approaches
Authors
Keywords
-
Journal
IEEE-ACM Transactions on Computational Biology and Bioinformatics
Volume 19, Issue 4, Pages 2431-2441
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Online
2021-02-26
DOI
10.1109/tcbb.2021.3062230
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Publisher Correction: A Fast and Refined Cancer Regions Segmentation Framework in Whole-slide Breast Pathological Images
- (2020) Zichao Guo et al. Scientific Reports
- Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study
- (2019) Jakob Nikolas Kather et al. PLOS MEDICINE
- Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer
- (2019) Jakob Nikolas Kather et al. NATURE MEDICINE
- Fast ScanNet: Fast and Dense Analysis of Multi-Gigapixel Whole-Slide Images for Cancer Metastasis Detection
- (2019) Huangjing Lin et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Global burden of colorectal cancer: emerging trends, risk factors and prevention strategies
- (2019) NaNa Keum et al. Nature Reviews Gastroenterology & Hepatology
- Learning Where to See: A Novel Attention Model for Automated Immunohistochemical Scoring
- (2019) Talha Qaiser et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection
- (2018) Angel Cruz-Roa et al. PLoS One
- Deep learning based tissue analysis predicts outcome in colorectal cancer
- (2018) Dmitrii Bychkov et al. Scientific Reports
- Automated histological classification of whole-slide images of gastric biopsy specimens
- (2017) Hiroshi Yoshida et al. Gastric Cancer
- 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
- A survey on deep learning in medical image analysis
- (2017) Geert Litjens et al. MEDICAL IMAGE ANALYSIS
- Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images
- (2016) Korsuk Sirinukunwattana et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Image analysis and machine learning in digital pathology: Challenges and opportunities
- (2016) Anant Madabhushi et al. MEDICAL IMAGE ANALYSIS
- Digital Cytology: Current State of the Art and Prospects for the Future
- (2011) David C. Wilbur ACTA CYTOLOGICA
- Area under the Free-Response ROC Curve (FROC) and a Related Summary Index
- (2008) Andriy I. Bandos et al. BIOMETRICS
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