Identification of Myeloproliferative Neoplasms using Deep Learning
Author:
Affiliation:
1. NITK,Dept. of ECE,Mangalore,India
2. Mangalore Manipal Academy of Higher Education,Kasturba Medical College,Dept. of Pathology,Manipal,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10571853/10571854/10571882.pdf?arnumber=10571882
Reference20 articles.
1. Artificial intelligence–based morphological fingerprinting of megakaryocytes: a new tool for assessing disease in MPN patients
2. Myeloproliferative neoplasms: Morphology and clinical practice
3. Diagnosis, risk stratification, and response evaluation in classical myeloproliferative neoplasms
4. The 2016 WHO classification and diagnostic criteria for myeloproliferative neoplasms: document summary and in-depth discussion
5. The 2016 revision to the World Health Organization classification of myeloid neoplasms and acute leukemia
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