Prediction of the Clinicopathological Prognosis of Colon Cancer After Radical Resection Using Artificial Intelligence “TabNet”
Analysis using AI enabled the creation of a recurrence prediction model with higher accuracy than previously reported models. The application of Adj for colorectal cancer is anticipated to be refined in the future, leading to lower recurrence rates.
Authors
- Junichi Mazaki (ORCID: https://orcid.org/0000-0002-0223-0921)
- Kenta Kasahara (ORCID: https://orcid.org/0000-0001-5997-5919)
- Akira Kanazawa (ORCID: https://orcid.org/0000-0003-4790-0172)
- Junya Oguma
- Yuichi Nagakawa
- T Kosuge
- HIROAKI OSAKABE
- HIROSHI KUWABARA
- KENICHI IWASAKI (ORCID: https://orcid.org/0000-0002-1589-1526)
- HIROYUKI KOGA
Institutions
- Tokyo Medical University (JP)
Publication Details
- Journal
- Anticancer Research
- Published
- 2025-12-30
- DOI
- https://doi.org/10.21873/anticanres.17960
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00