An Automatic Nucleus Segmentation and CNN Model based Classification Method of White Blood Cell

Volume: 149, Pages: 113211
Published: Jul 1, 2020
Abstract
null null White blood cells (WBCs) play a remarkable role in the human immune system. To diagnose blood-related diseases, pathologists need to consider the characteristics of WBC. The characteristics of WBC can be defined based on the morphological properties of WBC nucleus. Therefore, nucleus segmentation plays a vital role to classify the WBC image and it is an important part of the medical diagnosis system. In this study, color space...
Paper Details
Title
An Automatic Nucleus Segmentation and CNN Model based Classification Method of White Blood Cell
Published Date
Jul 1, 2020
Volume
149
Pages
113211
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