FT-MDNNMDs: early detection of breast cancer using fine-tuned multi-deep neural networks with TCGA and clinical image datasets
Arslan Shafique, Abid Mehmood, Rabiah Al-Qudah, Khiati Zakaria · 2026
Read FT-MDNNMDs: early detection of breast cancer using fine-tuned multi-deep neural networks with TCGA and clinical image datasets by Arslan Shafique, Abid Mehmood, Rabiah Al-Qudah, Khiati Zakaria (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13243525.txt.
Description
Breast cancer remains one of the leading causes of cancer-related mortality among women worldwide. Early and accurate detection is critical for improving survival rates and enabling effective treatment. This research proposes a fine-tuned Multi-Deep Neural Network model with Multiple Datasets (FT-MDNNMDs).
Catalog record
| CREATOR | Arslan Shafique, Abid Mehmood, Rabiah Al-Qudah, Khiati Zakaria |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 130 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |