Development and validation of computer-aided detection for colorectal neoplasms using deep learning incorporated with computed tomography colonography
The sensitivity of CT colonography images using the AI algorithm was improved by integrating evaluations in two positions. Validation experiments involving radiologists who can interpret images as well as AI to determine the auxiliary diagnosis can reduce the workload of physicians.
Authors
- Kazutomo Togashi
- Hiromasa Ohira (ORCID: https://orcid.org/0000-0003-4331-0634)
- Kenichi Utano (ORCID: https://orcid.org/0000-0002-1345-6993)
- Ken Takabayashi
- Satoshi Nozu
- Shungo Endo (ORCID: https://orcid.org/0000-0003-2383-8407)
- Koichi Nagata (ORCID: https://orcid.org/0000-0002-6387-2282)
- Michiaki Hirayama
- Takaaki Yasuda
Institutions
- Fukushima Medical University (JP)
- Tonan Hospital (JP)
- Ito Hospital (JP)
- Saitama Cancer Center (JP)
Publication Details
- Journal
- BMC Gastroenterology
- Published
- 2025-03-08
- DOI
- https://doi.org/10.1186/s12876-025-03742-0
- Citations
- 5
- Primary Topic
- Colorectal Cancer Screening and Detection
- Type
- article
- Field-Weighted Citation Impact
- 5.23