Modeling a Fine-Tuned Deep Convolutional Neural Network for Diagnosis of Kidney Diseases from CT Images-Reference-Cited by-同舟云学术

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Modeling a Fine-Tuned Deep Convolutional Neural Network for Diagnosis of Kidney Diseases from CT Images

Published:2022-12-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Author:

Asif Sohaib¹,Wenhui Yi²,Jinhai Si²,Ain Qurrat Ul³,Yueyang Yi⁴,Jin Hou⁵

Affiliation:

1. Xi’an Jiaotong University,School of Electronic Science and Engineering,China

2. Xi’an Jiaotong University,School of Electronic Science and Engineering Faculty of Electronic and Information Engineering,China

3. Central South University,School of Public Health,China

4. Xi’an Jiaotong University,Health Science Center,China

5. Xi’an Medical University,School of Basic Medical Science,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9994793/9994847/09995615.pdf?arnumber=9995615

Reference28 articles.

1. Simple renal cysts and bovine aortic arch: markers for aortic disease

2. Kidney Stone Disease: An Update on Current Concepts

3. Renal cell carcinoma

4. An overview of kidney stone imaging techniques

5. Visualizing and Understanding Convolutional Networks

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1. An optimized fusion of deep learning models for kidney stone detection from CT images;Journal of King Saud University - Computer and Information Sciences;2024-09

2. Kidney Disease Classification and Diagnosis: A Comprehensive Review of Current AI Techniques;2024 4th International Conference on Emerging Smart Technologies and Applications (eSmarTA);2024-08-06

3. Advancements and Prospects of Machine Learning in Medical Diagnostics: Unveiling the Future of Diagnostic Precision;Archives of Computational Methods in Engineering;2024-06-26

4. Application of visual transformer in renal image analysis;BioMedical Engineering OnLine;2024-03-05

5. Feature Extraction Based on Local Histogram with Unequal Bins and a Recurrent Neural Network for the Diagnosis of Kidney Diseases from CT Images;Bioengineering;2024-02-25

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