Spatial analysis of tumor‐infiltrating lymphocytes in histological sections using deep learning techniques predicts survival in colorectal carcinoma-Reference-Cited by-同舟云学术

Spatial analysis of tumor‐infiltrating lymphocytes in histological sections using deep learning techniques predicts survival in colorectal carcinoma

Published:2022-04-28 Issue:4 Volume:8 Page:327-339
ISSN:2056-4538
Container-title:The Journal of Pathology: Clinical Research
language:en
Short-container-title:The Journal of Pathology CR

Author:

Xu Hongming¹^ORCID,Cha Yoon Jin²^ORCID,Clemenceau Jean R³^ORCID,Choi Jinhwan³^ORCID,Lee Sung Hak⁴^ORCID,Kang Jeonghyun⁵^ORCID,Hwang Tae Hyun³^ORCID

Affiliation:

1. School of Biomedical Engineering, Faculty of Electronic Information and Electrical Engineering Dalian University of Technology Dalian PR China

2. Department of Pathology, Gangnam Severance Hospital Yonsei University College of Medicine Seoul Republic of Korea

3. Department of Artificial Intelligence and Informatics Mayo Clinic Jacksonville FL USA

4. Department of Hospital Pathology, Seoul St. Mary's Hospital, College of Medicine The Catholic University of Korea Seoul Republic of Korea

5. Department of Surgery, Gangnam Severance Hospital Yonsei University College of Medicine Seoul Republic of Korea

Funder

National Research Foundation of Korea

Publisher

Wiley

Subject

Pathology and Forensic Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cjp2.273

Reference26 articles.

1. NCCN Guidelines®.National Comprehensive Cancer Network (NCCN) Guidelines for Treatment of Cancer by Site.2020. [Accessed 30 June 2020]. Available from:https://www.nccn.org/professionals/physician_gls/default.aspx

2. The Prognostic Implications of Tumor Infiltrating Lymphocytes in Colorectal Cancer: A Systematic Review and Meta-Analysis

3. The prognostic value of tumour-infiltrating lymphocytes in pancreatic cancer: a systematic review and meta-analysis

4. 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

5. Tumor-Infiltrating Lymphocytes for Prognostic Stratification in Nonmetastatic Colon Cancer—Are We There Yet?

Cited by 27 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Artificial intelligence: illuminating the depths of the tumor microenvironment;Journal of Translational Medicine;2024-08-29

2. T cell receptor clonotype in tumor microenvironment contributes to intratumoral signaling network in patients with colorectal cancer;Immunologic Research;2024-08-08

3. Artificial Intelligence in Colorectal Cancer: From Patient Screening over Tailoring Treatment Decisions to Identification of Novel Biomarkers;Digestion;2024-06-12

4. The Glasgow Microenvironment Score: an exemplar of contemporary biomarker evolution in colorectal cancer;The Journal of Pathology: Clinical Research;2024-06-09

5. In Silico Optimization of Tissue Microarray Design for Machine Learning Analysis;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27