Improving Breast Cancer Detection and Diagnosis through Semantic Segmentation Using the Unet3+ Deep Learning Framework

We present an analysis and evaluation of breast cancer detection and diagnosis using segmentation models. We used an advanced semantic segmentation method and a deep convolutional neural network to identify the Breast Imaging Reporting and Data System (BI-RADS) lexicon for breast ultrasound images....

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Detalles Bibliográficos
Autores principales: Alam, Taukir, Shia, Wei-Chung, Hsu, Fang-Rong, Hassan, Taimoor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10294974/
https://www.ncbi.nlm.nih.gov/pubmed/37371631
http://dx.doi.org/10.3390/biomedicines11061536

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10294974/
https://www.ncbi.nlm.nih.gov/pubmed/37371631
http://dx.doi.org/10.3390/biomedicines11061536

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