Developing a Convolutional Neural Model for Segmentation of Medical Images-Reference-Cited by-同舟云学术

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Developing a Convolutional Neural Model for Segmentation of Medical Images

Published:2023-12-07 Issue: Volume: Page:1-5
ISSN:
Container-title:2023 International Conference on Emerging Research in Computational Science (ICERCS)
language:
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Author:

Arunachalam M.¹,Kumar P. Mohan²,Selvam L.³,Kumar S. Senthil⁴,Arunkumar B.³

Affiliation:

1. Sri Krishna College of Engineering and Technology,Department of Information Technology,Coimbatore,India

2. Hindusthan Institute of Technology & Sciences,Department of Computer Science and Engineering,Chennai,India

3. Karpagam Academy of Higher Education,Department of Computer Science and Engineering,Coimbatore,India

4. Sethu Institute of Technology,Department of Computer Science and Engineering,Kariapatti,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10433896/10433898/10434096.pdf?arnumber=10434096

Reference15 articles.

1. Defective tissue identification from crowded tissue cluster of 3D images

2. PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI

3. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

4. Cortical folding alterations in fetuses with isolated non-severe ventriculomegaly

5. DRINet for Medical Image Segmentation

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