Improving Tumor Diagnosis Accuracy with CNN Based Image segmentation and Arduino Decision Support-Reference-Cited by-同舟云学术

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Improving Tumor Diagnosis Accuracy with CNN Based Image segmentation and Arduino Decision Support

Published:2023-10-06 Issue: Volume: Page:
ISSN:
Container-title:2023 4th IEEE Global Conference for Advancement in Technology (GCAT)
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Author:

Indhumathi G¹,Stephena E²,Priyadharshini B²,Poonthamil V³,Kesavraj R³,Abinaya B⁴

Affiliation:

1. Rajalakshmi Engineering College,Department of ECE,Chennai,India

2. Loyola Institute of Technology,Department of ECE,Chennai,India

3. Thanthai Periyar Government Institute of Technology,Department of ECE,Vellore,India

4. Dhaanish Ahmed College of Engineering,Department of ECE,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10353069/10353233/10353239.pdf?arnumber=10353239

Reference10 articles.

1. Markov random field segmentation of brain MR images

2. Enhanced spatial priors for segmentation of magnetic resonance imagery

3. The mean field theory in EM procedures for blind Markov random field image restoration

4. Segmentation of MR images with intensity inhomogeneities

5. Automated Segmentation of MS Lesions from Multi-channel MR Images

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