A Classification Model for Predicting Fetus with down Syndrome – A Study from Turkey
Author:
Affiliation:
1. Department of Industrial Engineering, Gaziantep University, Gaziantep, Turkey
2. Department of Industrial Engineering, Erciyes University, Kayseri, Turkey
Publisher
Informa UK Limited
Subject
Artificial Intelligence
Link
https://www.tandfonline.com/doi/pdf/10.1080/08839514.2020.1790246
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2. Early Detection of Birth Defects Using Machine Learning;Advances in Medical Technologies and Clinical Practice;2024-07-12
3. Early Detection of Down Syndrome Through Ultrasound Imaging Using Deep Learning Strategies — A Review;2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE);2024-02-22
4. Computational Method of Predicting Down Syndrome on Foetus by Utilizing First Trimester Ultrasound Scan;2023 9th International Conference on Smart Computing and Communications (ICSCC);2023-08-17
5. A Combination of Multi-Branch CNN and Feature Rearrangement for Down Syndrome Prediction;2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC);2023-02-20
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