Revolutionizing and Enhancing Medical Diagnostics with Conditional GANs for Cross-Modality Image Translation-Reference-Cited by-同舟云学术

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Revolutionizing and Enhancing Medical Diagnostics with Conditional GANs for Cross-Modality Image Translation

Published:2024-02-28 Issue: Volume:63 Page:645-650
ISSN:
Container-title:2024 11th International Conference on Computing for Sustainable Global Development (INDIACom)
language:
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Author:

Maji Prasenjit¹,Dhibar Kunal²,Mondal Hemanta Kumar³

Affiliation:

1. National Institute of Technology & BCREC,ECE, Computer Sci. and Design,Durgapur,India

2. Computer Science and Engg. Bengal College of Engg. & Tech,Durgapur,India

3. National Institute of Technology,Electronics and Communication Engineering,Durgapur,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10498128/10498148/10498844.pdf?arnumber=10498844

Reference25 articles.

1. Conditional generation of medical images via disentangled adversarial inference

2. CardioGAN: Attentive Generative Adversarial Network with Dual Discriminators for Synthesis of ECG from PPG

3. Computational process to ascertain DNA micro-array using genetic marker

4. An integrated ensemble learning technique for gene expression classification and biomarker identification from RNA-seq data for pancreatic cancer prognosis

5. Hybrid approach for the detection of epileptic seizure using electroencephalography input

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