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Semi-supervised method for image texture classification of pituitary tumors via CycleGAN and optimized feature extraction
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 considerably. M...
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| Publicado no: | BMC Med Inform Decis Mak |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7488038/ https://ncbi.nlm.nih.gov/pubmed/32907561 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-020-01230-x |
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