Spatial analysis of tumor‐infiltrating lymphocytes in histological sections using deep learning techniques predicts survival in colorectal carcinoma
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Spatial analysis of tumor‐infiltrating lymphocytes in histological sections using deep learning techniques predicts survival in colorectal carcinoma
Authors
Keywords
-
Journal
Journal of Pathology Clinical Research
Volume 8, Issue 4, Pages 327-339
Publisher
Wiley
Online
2022-04-29
DOI
10.1002/cjp2.273
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Tumor-Infiltrating Lymphocytes for Prognostic Stratification in Nonmetastatic Colon Cancer—Are We There Yet?
- (2021) Frank A. Sinicrope et al. JAMA Oncology
- The Prognostic Implications of Tumor Infiltrating Lymphocytes in Colorectal Cancer: A Systematic Review and Meta-Analysis
- (2020) Gregory E. Idos et al. Scientific Reports
- Geospatial immune variability illuminates differential evolution of lung adenocarcinoma
- (2020) Khalid AbdulJabbar et al. NATURE MEDICINE
- The prognostic value of tumour-infiltrating lymphocytes in pancreatic cancer: a systematic review and meta-analysis
- (2020) Adile Orhan et al. EUROPEAN JOURNAL OF CANCER
- Deep learning model for the prediction of microsatellite instability in colorectal cancer: a diagnostic study
- (2020) Rikiya Yamashita et al. LANCET ONCOLOGY
- 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
- Whole-slide image analysis reveals quantitative landscape of tumor-immune microenvironment in colorectal cancers
- (2019) Seung-Yeon Yoo et al. CLINICAL CANCER RESEARCH
- An open source automated tumor infiltrating lymphocyte algorithm for prognosis in melanoma
- (2019) Balazs Acs et al. Nature Communications
- Clinical significance of tumor-infiltrating lymphocytes and neutrophil-to-lymphocyte ratio in patients with stage III colon cancer who underwent surgery followed by FOLFOX chemotherapy
- (2019) Yoon Jin Cha et al. Scientific Reports
- International validation of the consensus Immunoscore for the classification of colon cancer: a prognostic and accuracy study
- (2018) Franck Pagès et al. LANCET
- Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images
- (2018) Joel Saltz et al. Cell Reports
- QuPath: Open source software for digital pathology image analysis
- (2017) Peter Bankhead et al. Scientific Reports
- Tumor-Infiltrating Lymphocytes, Crohn’s-Like Lymphoid Reaction, and Survival From Colorectal Cancer
- (2016) Laura S. Rozek et al. JNCI-Journal of the National Cancer Institute
- Tumor-Infiltrating Lymphocytes, Crohn’s-Like Lymphoid Reaction, and Survival From Colorectal Cancer
- (2016) Laura S. Rozek et al. JNCI-Journal of the National Cancer Institute
- Prognostic Significance of Tumor-Infiltrating Lymphocytes for Patients With Colorectal Cancer
- (2012) Jae Hyuk Lee ARCHIVES OF SURGERY
- Socioeconomic Factors Impact Colon Cancer Outcomes in Diverse Patient Populations
- (2012) Wendy Lee et al. JOURNAL OF GASTROINTESTINAL SURGERY
- Comparison of the Prognostic Value of Inflammation-Based Pathologic and Biochemical Criteria in Patients Undergoing Potentially Curative Resection for Colorectal Cancer
- (2009) Campbell S. D. Roxburgh et al. ANNALS OF SURGERY
Publish 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 MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started