HIGHLIGHTS
- who: Hui Bi and colleagues from the Harvard Medical School, United States Yonsei University, South Korea have published the paper: Structure boundary-preserving U-Net for prostate ultrasound image segmentation, in the Journal: (JOURNAL)
- what: The authors proposed a model that combines boundary information with deep learning for prostate ultrasound image segmentation.
- how: The contributions of the work are as follows the authors built an end-to-end neural_network for prostate ultrasound segmentation an ASM-based method was utilized for boundary information extraction the key point selection models were easy to plug into . . .
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