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...
| 主要な著者: | , , |
|---|---|
| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Springer
2024-10-01
|
| シリーズ: | Discover Artificial Intelligence |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1007/s44163-024-00180-x |