Detection of RBCs, WBCs, Platelets Count in Blood Sample by using Deep Learning-Reference-Cited by-同舟云学术

Detection of RBCs, WBCs, Platelets Count in Blood Sample by using Deep Learning

Published:2023-03-23 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)
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Author:

HemaSri Allaparthi¹,Sreenidhi Mopuru Devi¹,Chaitanya Valluru Venkata Krishna¹,Vasanth Gamidi¹,Mohan V.Murali¹,Satish T.¹

Affiliation:

1. Koneru Lakshmaiah Educational Foundations,Department of CSE,Vijayawada,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10104520/10104522/10105115.pdf?arnumber=10105115

Reference14 articles.

1. Platelet count using image processing;kaur;In 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom),2016

2. Automatic white blood cell classification using pre-t rained deep learning models: Resnet and inception;habibzadeh;Tenth International Conference on Machine Vision (ICMV 2017),2018

3. Automatic classification of white blood cells using deep features based convolutional neural network

4. Transfer learning using VGG-16 with Deep Convolutional Neural Network for Classifying Images

5. Detection of subtype blood cells using deep learning

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