Novel Artificial Intelligence Combining Convolutional Neural Network and Support Vector Machine to Predict Colorectal Cancer Prognosis and Mutational Signatures From Hematoxylin and Eosin Images.

doi:10.1016/j.modpat.2024.100562

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Article

Novel Artificial Intelligence Combining Convolutional Neural Network and Support Vector Machine to Predict Colorectal Cancer Prognosis and Mutational Signatures From Hematoxylin and Eosin Images.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc - 1 Oct 2024

Mazaki Junichi, Umezu Tomohiro, Saito Akira, Katsumata Kenji, Fujita Koji, Hashimoto Mikihiro, Kobayashi Masaharu, Udo Ryutaro, Kasahara Kenta, Kuwabara Hiroshi, Ishizaki Tetsuo, Matsubayashi Jun, Nagao Toshitaka, Hazama Shoichi, Suzuki Nobuaki, Nagano Hiroaki, Tanaka Takashi, Tsuchida Akihiko, Nagakawa Yuichi, Kuroda Masahiko

Abstract excerpt

Reducing recurrence following radical resection of colon cancer without overtreatment or undertreatment remains a challenge. Postoperative adjuvant chemotherapy (Adj) is currently administered based solely on pathologic TNM stage. However, prognosis can vary significantly among patients with the same disease stage. Therefore, novel classification systems in addition to the TNM are necessary to inform...

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PMID: 39019345
DOI: 10.1016/j.modpat.2024.100562

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

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