A Residual-Learning-Based Multi-Scale Parallel-Convolutions- Assisted Efficient CAD System for Liver Tumor Detection

A Residual-Learning-Based Multi-Scale Parallel-Convolutions- Assisted Efficient CAD System for Liver Tumor Detection

Smart multimedia-based medical analytics and decision-making systems are of prime importance in the healthcare sector. Liver cancer is commonly stated to be the sixth most widely diagnosed cancer and requires an early diagnosis to help with treatment planning. Liver tumors have similar intensity lev...

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Bibliographic Details
Main Authors: Muazzam Maqsood, Maryam Bukhari, Zeeshan Ali, Saira Gillani, Irfan Mehmood, Seungmin Rho, Young-Ae Jung
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Mathematics
Subjects:
liver tumor segmentation
smart healthcare system
residual learning
multi-scale features
Online Access:https://www.mdpi.com/2227-7390/9/10/1133

Internet

https://www.mdpi.com/2227-7390/9/10/1133

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