Dual-encoder 3D transformer-based U-Net with temporal attention for non-mass enhancement segmentation in breast dynamic contrast-enhanced MRI.

Saved in:
Bibliographic Details
Title: Dual-encoder 3D transformer-based U-Net with temporal attention for non-mass enhancement segmentation in breast dynamic contrast-enhanced MRI.
Authors: Kosugi T; Graduate School of Science and Engineering, Ritsumeikan University, 1-1-1 Noji- higashi, Kusatsu, 525-8577, Shiga, Japan. ri0113vs@ed.ritsumei.ac.jp., Nakayama R; Graduate School of Science and Engineering, Ritsumeikan University, 1-1-1 Noji- higashi, Kusatsu, 525-8577, Shiga, Japan., Sakai K; Graduate School of Medical Sciences, Department of Radiology, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kawaramachi-Hirokoji, Kamigyo- ku, Kyoto, 602-8566, Japan., Goto M; Graduate School of Medical Sciences, Department of Radiology, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kawaramachi-Hirokoji, Kamigyo- ku, Kyoto, 602-8566, Japan.
Source: Radiological physics and technology [Radiol Phys Technol] 2026 Mar; Vol. 19 (1), pp. 259-269. Date of Electronic Publication: 2026 Jan 08.
Publication Type: Journal Article
Journal Info: Publisher: Springer Japan Country of Publication: Japan NLM ID: 101467995 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1865-0341 (Electronic) Linking ISSN: 18650333 NLM ISO Abbreviation: Radiol Phys Technol Subsets: MEDLINE; In Process
Database: MEDLINE Ultimate
Be the first to leave a comment!
You must be logged in first