Enhanced nuclear information fusion and visual transformer for pathological breast cancer image classification
Abstract Breast cancer poses a significant threat to women’s health. Early diagnosis using pathological images is crucial for effective treatment planning. However, the low resolution of pathological images poses significant challenges for the extraction of valid information, while their high comple...
Saved in:
| Main Authors: | Qinyi Zhang, Honglei Gao, Wenhao Li, Zhipeng Xu, Ting Ouyang, Zongyun Gu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-06-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-04344-2 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Isotopic dependence in nuclear-nuclear interaction potential and fusion cross-section
by: V. O. Nesterov
Published: (2014-03-01) -
A little about nuclear fusion
by: Amir Zacarias Mesquita
Published: (2025-05-01) -
Clinical efficacy of unilateral biportal endoscopic technique for adjacent segment pathology following lumbar fusion
by: Fei Feng, et al.
Published: (2025-07-01) -
Audio-visual speech enhancement with multi-level feature deep fusion under low signal-to-noise ratio
by: ZHANG Tianqi, et al.
Published: (2025-05-01) -
Radiation shielding for a nuclear fusion device with inertial electrostatic confinement
by: Seung Min Lee, et al.
Published: (2022-10-01)