Deep Learning Based Segmentation of Nuclei from Fluorescence Microscopy Images

Author:

Gudla Prabhakar R.,Zaki George,Shachar Sigal,Misteli Tom,Pegoraro Gianluca

Publisher

Cambridge University Press (CUP)

Subject

Instrumentation

Reference6 articles.

1. K He , arXiv e-prints [Online], (2015).

2. W Abdulla, [Online], (2017), https://github.com/matterport/Mask_RCNN.

3. U-Net: deep learning for cell counting, detection, and morphometry

4. This research was supported by funding from the Center for Cancer Research as part of the Intramural Research Program at NCI/NIH. The authors acknowledge the CBIIT Server Team and the High-Performance Computing Group at NCI/NIH for computational support. Prabhakar R. Gudla and George Zaki contributed equally.

5. High-Throughput Imaging for the Discovery of Cellular Mechanisms of Disease

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