Artificial intelligence (AI) for tumor microenvironment (TME) and tumor budding (TB) identification in colorectal cancer (CRC) patients: A systematic review-Reference-Cited by-同舟云学术

Artificial intelligence (AI) for tumor microenvironment (TME) and tumor budding (TB) identification in colorectal cancer (CRC) patients: A systematic review

Published:2024-12 Issue: Volume:15 Page:100353
ISSN:2153-3539
Container-title:Journal of Pathology Informatics
language:en
Short-container-title:Journal of Pathology Informatics

Author:

Lobanova Olga Andreevna,Kolesnikova Anastasia Olegovna,Ponomareva Valeria Aleksandrovna,Vekhova Ksenia Andreevna,Shaginyan Anaida Lusparonovna,Semenova Alisa Borisovna,Nekhoroshkov Dmitry Petrovich,Kochetkova Svetlana Evgenievna,Kretova Natalia Valeryevna,Zanozin Alexander Sergeevich,Peshkova Maria Alekseevna,Serezhnikova Natalia Borisovna,Zharkov Nikolay Vladimirovich,Kogan Evgeniya Altarovna,Biryukov Alexander Alekseevich,Rudenko Ekaterina Evgenievna,Demura Tatiana Alexandrovna

Funder

Ministry of Education and Science of the Russian Federation

Publisher

Elsevier BV

Subject

Computer Science Applications,Health Informatics,Pathology and Forensic Medicine

Reference27 articles.

1. Poor survival in stage IIB/C (T4N0) compared to stage IIIA (T1-2 N1, T1N2a) colon cancer persists even after adjusting for adequate lymph nodes retrieved and receipt of adjuvant chemotherapy;Chu;BMC Cancer.,2016

2. Recommendations for reporting tumor budding in colorectal cancer based on the International Tumor Budding Consensus Conference (ITBCC) 2016;Lugli;Mod Pathol.,2017

3. Tumor budding outperforms ypT and ypN classification in predicting outcome of rectal cancer after neoadjuvant chemoradiotherapy;Trotsyuk;BMC Cancer.,2019

4. Are pathological high-risk features in locally advanced rectal cancer a useful selection tool for adjuvant chemotherapy?;Swets;Eur J Cancer.,2018

5. Tumour `budding’ as an index to estimate the potential of aggressiveness in rectal cancer: tumour `budding’ in rectal cancer;Ueno;Histopathology.,2002

Cited by 1 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. ECG and EEG based machine learning models for the classification of mental workload and stress levels for women in different menstrual phases, men, and mixed sexes;Biomedical Signal Processing and Control;2024-09