Liver Tumor Segmentation using Hybrid Residual Network and Conditional Random Fields-Reference-Cited by-同舟云学术

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Liver Tumor Segmentation using Hybrid Residual Network and Conditional Random Fields

Published:2023-11-28 Issue: Volume: Page:1-8
ISSN:
Container-title:2023 International Conference on the Confluence of Advancements in Robotics, Vision and Interdisciplinary Technology Management (IC-RVITM)
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Author:

Deepak D J¹,Sunil Kumar B S²

Affiliation:

1. RV Institute of Technology and Management (Visvesvaraya Technological University, Belagavi),Department of Information Science an Engineering,Bengaluru,Karnataka,India

2. GM Institute of Technology (Visvesvaraya Technological University, Belagavi),Department of Information Science an Engineering,Davangere,Karnataka,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10434937/10434952/10435311.pdf?arnumber=10435311

Reference31 articles.

1. Review of liver segmentation and computer assisted detection/diagnosis methods in computed tomography

2. U-Net: Convolutional Networks for Biomedical Image Segmentation

3. Automatic Liver Lesion Detection using Cascaded Deep Residual Networks;Bi;arXiv:1704.02703 [cs],2017

4. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes

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