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...

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Detalles Bibliográficos
Autores principales: Krithika alias AnbuDevi, M., Suganthi, K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Review
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777361/
https://www.ncbi.nlm.nih.gov/pubmed/36553071
http://dx.doi.org/10.3390/diagnostics12123064

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