Renal Anomalies through Ultrasound Imaging and Segmentation Techniques-Reference-Cited by-同舟云学术

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Renal Anomalies through Ultrasound Imaging and Segmentation Techniques

Published:2024-03-20 Issue: Volume:14 Page:1-6
ISSN:
Container-title:2024 Tenth International Conference on Bio Signals, Images, and Instrumentation (ICBSII)
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Author:

Mangayarkarasi T.¹,Jamal D. Najumnissa²,Mohideen S. Kaja³

Affiliation:

1. Sri Sairam Engineering College,Department of Instrumentation and Control Engineering,Chennai,India

2. B.S.Abdur Rahman Crescent Institute of Science and Technology,Department of Electronics and Instrumentation Engineering,Chennai,India

3. B.S. Abdur Rahman Crescent Institute of Science and Technology,Department of Electronics and Communication Engineering,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10562382/10562387/10564036.pdf?arnumber=10564036

Reference20 articles.

1. Renal Angiomyolipoma Based on New Classification: How to Differentiate It From Renal Cell Carcinoma

2. Detection of Chronic Kidney Disease Using Artificial Neural Network;Chakrapani;International Journal of Applied Engineering Research,2019

3. 3D Fast Automatic Segmentation of Kidney Based on Modified AAM and Random Forest

4. A deep learning algorithm to detect chronic kidney disease from retinal photographs in community-based populations

5. Using machine learning models to predict the initiation of renal replacement therapy among chronic kidney disease patients

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