Artificial Intelligence Techniques for the Detections of Congenital Diseases: Challenges and Research Perspectives-Reference-Cited by-同舟云学术

Artificial Intelligence Techniques for the Detections of Congenital Diseases: Challenges and Research Perspectives

Published:2022-12-14 Issue: Volume: Page:
ISSN:
Container-title:2022 5th International Conference on Contemporary Computing and Informatics (IC3I)
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Author:

Kaur Komalpreet¹,Singh Charanjit¹,Kumar Yogesh²

Affiliation:

1. Punjabi University,Dept. of Electronics & Communication,Patiala,India

2. Pandit Deendayal Energy University,Gandhinagar,Dept. of Computer science & Engineering,Gujarat,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10072015/10072297/10072469.pdf?arnumber=10072469

Reference41 articles.

1. Study of Machine and Deep Learning Classifications for IOT Enabled Healthcare Devices

2. Application of machine learning in screening for congenital heart diseases using fetal echocardiography

3. Artificial neural network for normal, hypertensive, and preeclamptic pregnancy classification using maternal heart rate variability indexes

4. Supervised chromosomal anomaly detection using VGG-16 CNN model

5. Deep Transfer Learning Approaches to Predict Glaucoma, Cataract, Choroidal Neovascularization, Diabetic Macular Edema, DRUSEN and Healthy Eyes: An Experimental Review;kumar;Arch Computat Methods Eng,2022

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