Liver Tumor Localization Based on YOLOv3 and 3D-Semantic Segmentation Using Deep Neural Networks

Worldwide, more than 1.5 million deaths are occur due to liver cancer every year. The use of computed tomography (CT) for early detection of liver cancer could save millions of lives per year. There is also an urgent need for a computerized method to interpret, detect and analyze CT scans reliably,...

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Detalles Bibliográficos
Autores principales: Amin, Javaria, Anjum, Muhammad Almas, Sharif, Muhammad, Kadry, Seifedine, Nadeem, Ahmed, Ahmad, Sheikh F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9025116/
https://www.ncbi.nlm.nih.gov/pubmed/35453870
http://dx.doi.org/10.3390/diagnostics12040823

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9025116/
https://www.ncbi.nlm.nih.gov/pubmed/35453870
http://dx.doi.org/10.3390/diagnostics12040823

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