Multimodal modeling with low-dose CT and clinical information for diagnostic artificial intelligence on mediastinal tumors: a preliminary study

Multimodal modeling with low-dose CT and clinical information for diagnostic artificial intelligence on mediastinal tumors: a preliminary study

Background Diagnosing mediastinal tumours, including incidental lesions, using low-dose CT (LDCT) performed for lung cancer screening, is challenging. It often requires additional invasive and costly tests for proper characterisation and surgical planning. This indicates the need for a more efficien...

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Bibliographic Details
Main Authors: Daisuke Yamada, Fumitsugu Kojima, Yujiro Otsuka, Kouhei Kawakami, Naoki Koishi, Ken Oba, Toru Bando, Masaki Matsusako, Yasuyuki Kurihara
Format: Article
Language:English
Published: BMJ Publishing Group 2024-04-01
Series:BMJ Open Respiratory Research
Online Access:https://bmjopenrespres.bmj.com/content/11/1/e002249.full

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