Abstract
In blood testing, knowing the ratio and throughput of blood cells is crucial to help doctors make a clinical diagnosis. Here we propose a deep transfer learning strategy for accurate cell detection for digital pathology.
| Original language | English |
|---|---|
| Article number | JW1A.184 |
| Journal | Optics InfoBase Conference Papers |
| State | Published - 2021 |
| Event | CLEO: QELS_Fundamental Science, CLEO: QELS 2021 - Part of Conference on Lasers and Electro-Optics, CLEO 2021 - Virtual, Online, United States Duration: 9 May 2021 → 14 May 2021 |