Abstract
Feature-based classification of HER2 status in breast cancer is explored using histopathology tiles. The proposed pipeline utilizes ensemble learning on extracted features, offering an interpretable alternative to deep learning in computational pathology workflows.
| Original language | English |
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| Title of host publication | Frontiers in Optics, FiO 2025 in Proceedings Frontiers in Optics + Laser Science 2025 ,FiO, LS - Part of Frontiers in Optics + Laser Science 2025 |
| Publisher | Optical Society of America |
| ISBN (Electronic) | 9781957171524 |
| DOIs | |
| Publication status | Published - 2025 |
| Event | 2025 Frontiers in Optics, FiO 2025 - Denver, United States Duration: 26-10-2025 → 30-10-2025 |
Publication series
| Name | Frontiers in Optics, FiO 2025 in Proceedings Frontiers in Optics + Laser Science 2025 ,FiO, LS - Part of Frontiers in Optics + Laser Science 2025 |
|---|
Conference
| Conference | 2025 Frontiers in Optics, FiO 2025 |
|---|---|
| Country/Territory | United States |
| City | Denver |
| Period | 26-10-25 → 30-10-25 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
All Science Journal Classification (ASJC) codes
- General Computer Science
- Space and Planetary Science
- Control and Systems Engineering
- Electrical and Electronic Engineering
- Electronic, Optical and Magnetic Materials
- Instrumentation
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