Deep learning-based diagnosis of Dirofilaria immitis microfilariae in dog blood-Reference-Cited by-同舟云学术

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Deep learning-based diagnosis of Dirofilaria immitis microfilariae in dog blood

Published:2022-12-21 Issue: Volume: Page:
ISSN:
Container-title:2022 29th National and 7th International Iranian Conference on Biomedical Engineering (ICBME)
language:
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Author:

Nejad Sepide Banihashem¹,Hashemi Nima²,Hasanpour Ershad²,Jalousian Fateme¹,Jamshidi Shahram³,Hosseini Seyed Hossein⁴,Ghaishghorshagh Fatemeh Manshori¹,Soltanian-Zadeh Hamid²

Affiliation:

1. Faculty of Veterinary Medicine University of Tehran,Department of Parasitology,Tehran,Iran

2. CIPCE, School of Elec. & Comp. Eng. College of Engineering University of Tehran,Tehran,Iran

3. Faculty of Veterinary Medicine University of Tehran,Department of Internal Medicine,Tehran,Iran

4. Faculty of Veterinary Medicine University of Tehran,Department of Parasitology and Iranian Museum of parasitology,Tehran,Iran

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10052788/10052797/10052956.pdf?arnumber=10052956

Reference25 articles.

1. A combined deep CNN-LSTM network for the detection of novel coronavirus (COVID-19) using X-ray images

2. COVIDiagnosis-Net: Deep Bayes-SqueezeNet based diagnosis of the coronavirus disease 2019 (COVID-19) from X-ray images

3. Image Segmentation Using Deep Learning: A Survey

4. The Effectiveness of Image Augmentation in Deep Learning Networks for Detecting COVID-19: A Geometric Transformation Perspective

5. Deep Learning-Based Decision-Tree Classifier for COVID-19 Diagnosis From Chest X-ray Imaging

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