Combining shallow and deep neural networks on pseudo-color enhanced images for digital breast tomosynthesis lesion classification
The use of pseudo-color enhancement, extracting high and low-level features and inter-slice majority voting proposed method is effective for lesion classification in DBT. The code is available at https://github.com/xiaoerlaigeid/DBT-Dual-Net.
Authors
- Örjan Smedby (ORCID: https://orcid.org/0000-0002-7750-1917)
- Rodrigo Moreno
- Yingqing Liu
- Zhikai Yang
Institutions
- KTH Royal Institute of Technology (SE)
Publication Details
- Journal
- Frontiers in Digital Health
- Published
- 2026-01-09
- DOI
- https://doi.org/10.3389/fdgth.2025.1705044
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Cancerfonden
- Knut och Alice Wallenbergs Stiftelse