Intelligent Breast Abnormality Framework for Detection and Evaluation of Breast Abnormal Parameters-Reference-Cited by-同舟云学术

Intelligent Breast Abnormality Framework for Detection and Evaluation of Breast Abnormal Parameters

Published:2022-10-13 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Edge Computing and Applications (ICECAA)
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Author:

P Ajay.¹,Sharma Avinash²,Kawale Sheetalrani R³,Diwan Supriya P.⁴,V Dankan Gowda⁵

Affiliation:

1. Anna University,Department of Electronics and Communication Engineering,Chennai,Tamilnadu,India

2. Maharishi Markandeshwar (Deemed to be University),MM Engineering College,Department of Computer Science Engineering,Mullana-Ambala,Haryan,India

3. Karnataka State Akkamahadevi Women’s University,Department of Computer Science,Vijayapura,Karnataka,India

4. Government College of Engineering,Department of Electronics and Telecommunication Engineering,Karad, Satara,Maharashtra,India

5. BMS Institute of Technology and Management,Department of Electronics and Communication Engineering,Bangalore,Karnataka,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9935819/9936051/09936206.pdf?arnumber=9936206

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2. A new nested ensemble technique for automated diagnosis of breast cancer

3. Covid-19 Prevention Kit Based on an Infrared Touchless Thermometer and Distance Detector;bakshi;2021 5th International Conference on Electronics Communication and Aerospace Technology (ICECA),2021

4. IOT Based Smart Health Care System to Monitor Covid-19 Patients;swetha;IJEER,2022

5. A deep feature fusion methodology for breast cancer diagnosis demonstrated on three imaging modality datasets

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