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

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

Evaluation of the parameters such as tumor microenvironment (TME) and tumor budding (TB) is one of the most important steps in colorectal cancer (CRC) diagnosis and cancer development prognosis. In recent years, artificial intelligence (AI) has been successfully used to solve such problems. In this...

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Bibliographic Details
Main Authors: Olga Andreevna Lobanova, Anastasia Olegovna Kolesnikova, Valeria Aleksandrovna Ponomareva, Ksenia Andreevna Vekhova, Anaida Lusparonovna Shaginyan, Alisa Borisovna Semenova, Dmitry Petrovich Nekhoroshkov, Svetlana Evgenievna Kochetkova, Natalia Valeryevna Kretova, Alexander Sergeevich Zanozin, Maria Alekseevna Peshkova, Natalia Borisovna Serezhnikova, Nikolay Vladimirovich Zharkov, Evgeniya Altarovna Kogan, Alexander Alekseevich Biryukov, Ekaterina Evgenievna Rudenko, Tatiana Alexandrovna Demura
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Journal of Pathology Informatics
Subjects:
Colorectal cancer
Systematic review
Tumor microenvironment
Tumor budding
Artificial intelligence
Online Access:http://www.sciencedirect.com/science/article/pii/S2153353923001670

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http://www.sciencedirect.com/science/article/pii/S2153353923001670

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