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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7488038/ https://www.ncbi.nlm.nih.gov/pubmed/32907561 http://dx.doi.org/10.1186/s12911-020-01230-x |