A Deep Learning Pipeline for Nucleus Segmentation-Reference-Cited by-同舟云学术

A Deep Learning Pipeline for Nucleus Segmentation

Published:2020-11-19 Issue:12 Volume:97 Page:1248-1264
ISSN:1552-4922
Container-title:Cytometry Part A
language:en
Short-container-title:Cytometry

Author:

Zaki George¹,Gudla Prabhakar R.²,Lee Kyunghun²,Kim Justin¹³,Ozbun Laurent²,Shachar Sigal⁴,Gadkari Manasi⁵,Sun Jing⁶,Fraser Iain D. C.⁶,Franco Luis M.⁵,Misteli Tom⁴,Pegoraro Gianluca²^ORCID

Affiliation:

1. Biomedical Informatics and Data Science Directorate, Frederick National Laboratory for Cancer Research (FNLCR) Frederick Maryland USA

2. High‐Throughput Imaging Facility (HiTIF), Center for Cancer Research (CCR) NCI/NIH Bethesda Maryland USA

3. Pratt School of Engineering, Duke University Durham North Carolina USA

4. Cell Biology of Genomes (CBGE), Center for Cancer Research (CCR) NCI/NIH Bethesda Maryland USA

5. Systemic Autoimmunity Branch, NIAMS/NIH Bethesda Maryland USA

6. Laboratory of Immune System Biology NIAID/NIH Bethesda Maryland USA

Funder

National Cancer Institute

National Institute of Allergy and Infectious Diseases

National Institute of Arthritis and Musculoskeletal and Skin Diseases

Publisher

Wiley

Subject

Cell Biology,Histology,Pathology and Forensic Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cyto.a.24257

Reference35 articles.

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5. Opportunities and obstacles for deep learning in biology and medicine

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