Liver segmentation in CT imaging with enhanced mask region-based convolutional neural networks
Author:
Publisher
AME Publishing Company
Subject
General Medicine
Link
https://atm.amegroups.com/article/download/85894/pdf
Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Evaluating Generative Adversarial Networks for Virtual Contrast-Enhanced Kidney Segmentation using Res-UNet in Non-Contrast CT Images;Multimedia Tools and Applications;2024-07-19
2. Grey Wolf optimized SwinUNet based transformer framework for liver segmentation from CT images;Computers and Electrical Engineering;2024-07
3. Transformer Skip‐Fusion Based SwinUNet for Liver Segmentation From CT Images;International Journal of Imaging Systems and Technology;2024-06-24
4. Quantitative Comparison of Liver Volume, Proton Density Fat Fraction, and Time Burden between Automatic Whole Liver Segmentation and Manual Sampling MRI Strategies for Diagnosing Metabolic Dysfunction-associated Steatotic Liver Disease in Obese Patients;Current Medical Imaging Formerly Current Medical Imaging Reviews;2024-03-28
5. Literature survey on deep learning methods for liver segmentation from CT images: a comprehensive review;Multimedia Tools and Applications;2024-02-08
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