Deep Convolution Neural Network for RBC Images-Reference-Cited by-同舟云学术

Deep Convolution Neural Network for RBC Images

Published:2022-07-15 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)
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Author:

Jatothu Rajaram¹,Sireesha Arikatla²,Ganesh Kumar R³,Joshi Kapil⁴

Affiliation:

1. Teegala Krishna Reddy Engineering College,Department of CSE,Hyderabad

2. Teegala Krishna Reddy Engineering College,Computer Science and Engineering

3. CHRIST (Deemed to be University), School of Engineering and Technology,Department of Computer Science and Engineering,Kanminike, Bangalore,560 074

4. Uttaranchal University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9914000/9914005/09914363.pdf?arnumber=9914363

Reference10 articles.

1. Hyperbolic Hopfield neural networks for image classification in content-based image retrieval

2. Deep Learning Models for Classification of Red Blood Cells in Microscopy Images to Aid in Sickle Cell Anemia Diagnosis

3. An experimental analysis on the influence of fuel borne additives on the single cylinder diesel engine powered by Cymbopogon flexuosus biofuel

4. An efficient cloud?based healthcare services paradigm for chronickidney disease prediction application using boosted support vector machine;aswini;Concurrency and Computation Practice & Experience,2021

5. A framework to reduce category proliferation in fuzzy ARTMAP classifiers adopted for image retrieval using differential evolution algorithm

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