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On the Reliability of CNNs in Clinical Practice: A Computer-Aided Diagnosis System Case Study
2022
Applied Sciences
Leukocytes classification is essential to assess their number and status since they are the body's first defence against infection and disease. Automation of the process can reduce the laborious manual process of review and diagnosis by operators and has been the subject of study for at least two decades. Most computer-aided systems exploit convolutional neural networks for classification purposes without any intermediate step to produce an accurate classification. This work explores the
doi:10.3390/app12073269
fatcat:ew6rb27f4jhu5bzisaknzpcd34