Semi-supervised method for image texture classification of pituitary tumors via CycleGAN and optimized feature extraction
Abstract Background Accurately determining the softness level of pituitary tumors preoperatively by using their image textures can provide a basis for surgical options and prognosis. Existing methods for this problem require manual intervention, which could hinder the efficiency and accuracy conside...
Gorde:
| Egile Nagusiak: | , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
BMC
2020-09-01
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| Saila: | BMC Medical Informatics and Decision Making |
| Gaiak: | |
| Sarrera elektronikoa: | http://link.springer.com/article/10.1186/s12911-020-01230-x |
| Etiketak: |
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