Performance reporting design in artificial intelligence studies using image-based TNM staging and prognostic parameters in rectal cancer: a systematic review

Performance reporting design in artificial intelligence studies using image-based TNM staging and prognostic parameters in rectal cancer: a systematic review

Purpose The integration of artificial intelligence (AI) and magnetic resonance imaging in rectal cancer has the potential to enhance diagnostic accuracy by identifying subtle patterns and aiding tumor delineation and lymph node assessment. According to our systematic review focusing on convolutional...

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Bibliographic Details
Main Authors: Minsung Kim, Taeyong Park, Bo Young Oh, Min Jeong Kim, Bum-Joo Cho, Il Tae Son
Format: Article
Language:English
Published: Korean Society of Coloproctology 2024-02-01
Series:Annals of Coloproctology
Subjects:
rectal neoplasms
artificial intelligence
convolutional neural network
Online Access:http://coloproctol.org/upload/pdf/ac-2023-00892-0127.pdf

Internet

http://coloproctol.org/upload/pdf/ac-2023-00892-0127.pdf

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