ER2Net: an evidential reasoning rule–enabled neural network for reliable triple-negative breast cancer tumor segmentation in magnetic resonance imaging
| Title: | ER2Net: an evidential reasoning rule–enabled neural network for reliable triple-negative breast cancer tumor segmentation in magnetic resonance imaging |
|---|---|
| Authors: | Mahmud, Kazi Md Farhad; Qasem, Ahmad; Staley, Joshua M.; Yoder, Rachel; Aripoli, Allison; Stecklein, Shane R.; Sharma, Priyanka; Zhou, Zhiguo |
| Contributors: | The University of Kansas Cancer Center; KUCC Pilot Program; National Institute of Health |
| Source: | Journal of Medical Imaging ; volume 13, issue 01 ; ISSN 2329-4302 |
| Publisher Information: | SPIE-Intl Soc Optical Eng |
| Publication Year: | 2026 |
| Document Type: | article in journal/newspaper |
| Language: | unknown |
| DOI: | 10.1117/1.jmi.13.1.014005 |
| Availability: | https://doi.org/10.1117/1.jmi.13.1.014005 |
| Accession Number: | edsbas.73FC1D72 |
| Database: | BASE |