HIGHLIGHTS
- who: Admin from the Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Kong, Kong SAR, China have published the research work: Framework for Medical Image Segmentation, in the Journal: (JOURNAL)
- what: Inspired these points the authors aimed to propose a twou2010stage medical image segmentation framework based on CNN and voting strategy which could consider the contour information and a meaningful learning order. The authors propose training the contouru2010aware network using the following cascaded loss function: ud835udc3f ud835udc3f ud835udf06ud835udc3f u03b3ud835udc3f where ud835udc3f denotes the standard loss function to learn the semantics . . .
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