Abstract
Spectrally Encoded Confocal Microscopy (SECM) previously demonstrated the ability to visualize cellular features of malignant breast tissues. In this paper, we developed a deep neural network-based method for automatically classifying SECM breast images.
| Original language | English (US) |
|---|---|
| State | Published - 2024 |
| Event | Microscopy Histopathology and Analytics, Microscopy 2024 - Part of Optica Biophotonics Congress: Biomedical Optics - Fort Lauderdale, United States Duration: Apr 7 2024 → Apr 10 2024 |
Conference
| Conference | Microscopy Histopathology and Analytics, Microscopy 2024 - Part of Optica Biophotonics Congress: Biomedical Optics |
|---|---|
| Country/Territory | United States |
| City | Fort Lauderdale |
| Period | 4/7/24 → 4/10/24 |
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Biomaterials
- Biomedical Engineering
- Atomic and Molecular Physics, and Optics