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Review of Semantic Segmentation of Medical Images Using Modified Architectures of UNET
In biomedical image analysis, information about the location and appearance of tumors and lesions is indispensable to aid doctors in treating and identifying the severity of diseases. Therefore, it is essential to segment the tumors and lesions. MRI, CT, PET, ultrasound, and X-ray are the different...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777361/ https://www.ncbi.nlm.nih.gov/pubmed/36553071 http://dx.doi.org/10.3390/diagnostics12123064 |