Parallel Segmentation of Tumor from MRI Using Image Processing
Modern medical image analysis relies heavily on medical picture segmentation, which has important ramifications for computer-aided diagnosis and therapy planning. This research presents a novel framework that combines morphological methods, K-means clustering, and U-Net architecture for the parallel...
Tallennettuna:
| Päätekijät: | , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
EDP Sciences
2024-01-01
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| Sarja: | MATEC Web of Conferences |
| Aiheet: | |
| Linkit: | https://www.matec-conferences.org/articles/matecconf/pdf/2024/05/matecconf_staaar2023_02006.pdf |
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