Deep Learning with Unsupervised and Supervised Approaches in Medical Image Analysis-Reference-Cited by-同舟云学术

Deep Learning with Unsupervised and Supervised Approaches in Medical Image Analysis

Published:2022-04-28 Issue: Volume: Page:
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Container-title:2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)
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Author:

G Geetha¹^ORCID,Thimmiaraja J²,Shelke Chetan Jagannath³,Pavithra G.⁴,Sharma Vinay Kumar⁵,Verma Devvret⁶^ORCID

Affiliation:

1. VRSiddhartha Engineering College,Department of Information Technology

2. School of Computing, Kalasalingam Academy of Research and Academy,Krishnankovil,Tamil Nadu,India

3. Alliance University,Department of IT,Bengaluru,India

4. Anna University,Department of Computer Science and Engineering,Tamilnadu,India

5. Chandigarh University,AIT - CSE,Mohali,Punjab,India

6. Graphic Era Deemed to be University,Department of Biotechnology,Dehradun,Uttarakhand,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9823381/9823413/09823491.pdf?arnumber=9823491

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2. Incorporating second-order functional knowledge for better option pricing;dugas;13th International Conference on Neural Information Processing Systems (NIPS'00),0

3. Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique

4. Modelling and optimization of different quality characteristics in electric discharge drilling of titanium alloy sheet

5. Fabrication and Machining of Metal Matrix Composite Using Electric Discharge Machining: A Short Review

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