Revolutionizing Medical Diagnostics: Exploring Creativity in AI for Biomedical Image Analysis-Reference-Cited by-同舟云学术

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Revolutionizing Medical Diagnostics: Exploring Creativity in AI for Biomedical Image Analysis

Published:2024-07-04 Issue: Volume:1 Page:1-7
ISSN:
Container-title:2024 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT)
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Author:

Krishnamoorthy P.¹,Swetha Devulapally²,Geetha Pamidimukkala Sai³,Karunambiga K.⁴,Ayyasamy Ramesh Kumar⁵,Kiran Ajmeera⁶

Affiliation:

1. Thiruthangal Nadar College,PG Department of Computer Science,Chennai,Tamil Nadu,India

2. Vaagdevi Engineering College,Department of Computer Science and Engineering,Bolli Kunta,Telangana,India

3. Koneru Lakshmaiah Education Foundation,Department of Computer Science and Engineering,Vaddeswaram,Andhra Pradesh,India

4. Karpagam Institute of Technology,Department of CSE,Coimbatore,Tamil Nadu,India

5. Universiti Tunku Abdul Rahman (UTAR),Faculty of Information and Communication Technology,Kampar,Malaysia

6. MLR Institute of Technology,Department of Computer Science and Engineering,Hyderabad,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10625767/10627770/10627886.pdf?arnumber=10627886

Reference20 articles.

1. Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis

2. Classification of brain tumours in MR images using deep spatiospatial models

3. Machine learning based biomedical image processing for echocardiographic images

4. Detection of Pneumonia Infection by Using Deep Learning on a Mobile Platform

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