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

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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Bibliographic Details
Main Authors: Javaria Amin, Muhammad Almas Anjum, Muhammad Sharif, Seifedine Kadry, Ahmed Nadeem, Sheikh F. Ahmad
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Diagnostics
Subjects:
generative adversarial network
deeplabv3
inceptionresnetv2
YOLOv3
ResNet-50
liver tumor
Online Access:https://www.mdpi.com/2075-4418/12/4/823

Internet

https://www.mdpi.com/2075-4418/12/4/823

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