Machine learning and augmented human intelligence use in histomorphology for haematolymphoid disorders
Ahmad Nanaa(Mayo Clinic), Mohamed E. Salama(The University of Texas at San Antonio Health Science Center), Winston Y. Lee(University of Miami), Liron Pantanowitz(University of Pittsburgh Medical Center), Zeynettin Akkus(Jacksonville College)
Cited by 18
Related Papers
MYC Drives Progression of Small Cell Lung Cancer to a Variant Neuroendocrine Subtype with Vulnerability to Aurora Kinase Inhibition
|Cancer Cell|2017|619
Spectrum of Epithelial Neoplasms in End-Stage Renal Disease
|The American Journal of Surgical Pathology|2006|484
A genetic mechanism for Tibetan high-altitude adaptation
|Nature Genetics|2014|441
Review of the current state of whole slide imaging in pathology
|Journal of Pathology Informatics|2011|438
A Survey of Deep-Learning Applications in Ultrasound: Artificial Intelligence–Powered Ultrasound for Improving Clinical Workflow
|Journal of the American College of Radiology|2019|319