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What is HFCNN for Medical Image Segmentation about?
This paper presents a segmentation algorithm for medical exercise rehabilitation images based on hierarchical features of convolutional neural networks (HFCNN). The proposed algorithm improves accuracy and speed by combining shallow and deep network features, utilizing super pixel segmentation, and employing a fully connected conditional random field for pixel classification. The results demonstrate significant advancements over traditional methods, showcasing the practical value of the HFCNN approach in me
- Author
- ppawanmaail
- Language
- EN