Architecture Optimization for Hybrid Deep Residual Networks in Liver Tumor Segmentation Using a GA

Abstract Nowadays, liver tumor segmentation has been widely applied for vital medical objectives such as illness diagnosis, treatment, and evaluation of liver function. In this work, we aim to improve the performance of hybrid convolution neural network (CNN) models for liver tumor segmentation. A n...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:International Journal of Computational Intelligence Systems
المؤلفون الرئيسيون: Mohamed Reyad, Amany M. Sarhan, M. Arafa
التنسيق: مقال
اللغة:الإنجليزية
منشور في: Springer 2024-08-01
الموضوعات:
Liver tumor
Segmentation
Convolution neural network
CNN
U-Net
Genetic algorithm and Res-UNet
الوصول للمادة أونلاين:https://doi.org/10.1007/s44196-024-00542-4

الانترنت

https://doi.org/10.1007/s44196-024-00542-4

مواد مشابهة