Segmentation of MR images for brain tumor detection using autoencoder neural network
Abstract Medical images often require segmenting into different regions in the first analysis stage. Relevant features are selected to differentiate various regions from each other, and the images are segmented into meaningful (anatomically significant) regions based on these features. The purpose o...
| Autori principali: | , , |
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| Natura: | Articolo |
| Lingua: | English |
| Pubblicazione: |
Springer
2024-10-01
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| Serie: | Discover Artificial Intelligence |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1007/s44163-024-00180-x |