Problems of magnetic resonance diagnosis for gastric-type mucin-positive cervical lesions of the uterus and its solutions using artificial intelligence
Variation in the inter-reader or intra-reader accuracy in MRI diagnosis limits differentiation between GMPL and GMNL. CNN is nearly as accurate as readers but improves the reproducibility of diagnosis.
Authors
- Tsutomu Miyamoto (ORCID: https://orcid.org/0000-0002-1513-9473)
- Yasunari Fujinaga (ORCID: https://orcid.org/0000-0002-3752-257X)
- Hisanori Kobara
- Tanri Shiozawa
- Fumihito Ichinohe (ORCID: https://orcid.org/0000-0001-7598-1040)
- Ayumi Ohya (ORCID: https://orcid.org/0000-0003-0786-7531)
Institutions
- Shinshu University (JP)
Publication Details
- Journal
- PLoS ONE
- Published
- 2024-12-30
- DOI
- https://doi.org/10.1371/journal.pone.0315862
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Japan Society for the Promotion of Science