Design and Implementation of an Optimized Mask RCNN Model for Liver Tumour Prediction and Segmentation-Reference-Cited by-同舟云学术

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Design and Implementation of an Optimized Mask RCNN Model for Liver Tumour Prediction and Segmentation

Published:2023-12-12 Issue: Volume:20 Page:1-6
ISSN:
Container-title:2023 4th International Conference on Computation, Automation and Knowledge Management (ICCAKM)
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Author:

Thakur Raman¹,Volety Dayal Rohan¹,Sharma Vandana²,Mishra Sushruta¹,Iwendi Celestine³,Osamor Jude⁴

Affiliation:

1. Kalinga Institute of Industrial Technology, Deemed to be University,Bhubaneswar,India

2. CHRIST (Deemed to be University),Computer Science Department,Delhi NCR,India

3. School of Creative Technologies, University of Bolton,United Kingdom

4. Glasgow Caledonian University,Department of Cybersecurity and Networks,Glasgow,Scotland,UK,G4 OBA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10449490/10449491/10449653.pdf?arnumber=10449653

Reference25 articles.

1. Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields

2. A Deep Learning Approach for Liver and Tumor Segmentation in CT Images Using ResUNet

3. A Deep Learning Approach for Liver and Tumor Segmentation in CT Images Using ResUNet

4. Liver tumor segmentation in CT volumes using an adversarial densely connected network;Chen,2019

5. Automatic Liver Tumor Segmentation from CT Images Using Graph Convolutional Network

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