Deep Learning for Detecting Malaria Parasites of Infected Red Blood Cells in Thin Blood Smear Images-Reference-Cited by-同舟云学术

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Deep Learning for Detecting Malaria Parasites of Infected Red Blood Cells in Thin Blood Smear Images

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 5th Asia Conference on Machine Learning and Computing (ACMLC)
language:
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Author:

Naksuwan Wongsathon¹,Suwannahitatorn Picha²,Watcharopas Chakrit¹,Wattuya Pakaket¹

Affiliation:

1. Kasetsart University,Department of Computer Science,Bangkok,Thailand

2. Phramongkutklao College of Medicine,Department of Parasitology,Bangkok,Thailand

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10221757/10221795/10221819.pdf?arnumber=10221819

Reference13 articles.

1. Thai Vector Borne Diseases, “Annual report 2018 bureau of vector borne disease;Thai Vector Borne Diseases,2018

2. Decoupled Weight Decay Regularization;loshchilov;arXiv 1711 05101,0

3. On Empirical Comparisons of Optimizers for Deep Learning;choi;(in English),2019

4. The VIA Annotation Software for Images, Audio and Video

5. Malaria Parasite Detection and Species Identification on Thin Blood Smears Using a Convolutional Neural Network;peñas;In 2017 IEEE/ACM International Conference on Connected Health Applications Systems and Engineering Technologies (CHASE),2017

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