An explainable AI-driven deep neural network for accurate breast cancer detection from histopathological and ultrasound images.
Saved in:
| Title: | An explainable AI-driven deep neural network for accurate breast cancer detection from histopathological and ultrasound images. |
|---|---|
| Authors: | Alom MR; Department of Computer Science and Engineering, Green University of Bangladesh (GUB), Purbachal American City, Kanchon, Dhaka, 1460, Bangladesh., Farid FA; Faculty of Artificial Intelligence and Engineering, Multimedia University, 63100, Cyberjaya, Malaysia., Rahaman MA; Department of Computer Science and Engineering, Green University of Bangladesh (GUB), Purbachal American City, Kanchon, Dhaka, 1460, Bangladesh. aminur@cse.green.edu.bd., Rahman A; Department of Computer Science and Engineering, National Institute of Textile Engineering and Research (NITER), Constituent Institute of the University of Dhaka, Savar, Dhaka, 1350, Bangladesh. anis_cse@niter.edu.bd.; Department of Computer Science and Engineering, Mawlana Bhashani Science and Technology University, Tangail, Bangladesh. anis_cse@niter.edu.bd., Debnath T; Department of Computer Science, Stony Brook University, Stony Brook, NY, USA., Miah ASM; Department of Computer Science and Engineering, Bangladesh Army University of Science and Technology (BAUST), Nilphamari, Bangladesh., Mansor S; Faculty of Artificial Intelligence and Engineering, Multimedia University, 63100, Cyberjaya, Malaysia. sarina.mansor@mmu.edu.my. |
| Source: | Scientific reports [Sci Rep] 2025 May 20; Vol. 15 (1), pp. 17531. Date of Electronic Publication: 2025 May 20. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 2045-2322 |
|---|---|
| DOI: | 10.1038/s41598-025-97718-5 |
