Multi-Class Kidney Abnormalities Detecting Novel System Through Computed Tomography
Author:
Affiliation:
1. School of Computer Science and Engineering (SCOPE), VIT-AP University, Amaravati, Andhra Pradesh, India
Funder
VIT-AP University, Amaravati, Andhra Pradesh, India
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6287639/10380310/10384368.pdf?arnumber=10384368
Reference21 articles.
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2. Chronic kidney disease: global dimension and perspectives
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4. Computer-aided diagnosis system for the classification of multi-class kidney abnormalities in the noisy ultrasound images
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