Classification of Thalassemia Patients Using a Fusion of Deep Image and Clinical Features

Author:

Purwar Shikha1,Tripathi Rajiv1,Ranjan Ravi2,Saxena Renu2

Affiliation:

1. National Institute of Technology,Electronics and Communication Department,Delhi,INDIA

2. All India Institute of Medical Sciences,New Delhi,INDIA

Publisher

IEEE

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Biophysical profiling of red blood cells from thin-film blood smears using deep learning;Heliyon;2024-08

2. ThalNet: Deep Learning for Thalassemia via Blood Image Structure Function Image;2024 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC);2024-07-02

3. Enhancing Alpha Thalassemia Screening: A Comparative Study of Multiple Machine Learning Classifiers and Interpretation using Explainable AI;2023 4th International Conference on Intelligent Technologies (CONIT);2024-06-21

4. Biophysical Profiling of Red Blood Cells from Thin-film Blood Smears using Deep Learning;2024-04-14

5. Advancing Alpha-Thalassemia Carrier Screening for Better Predictions Using Explainable AI;2023 4th International Conference on Communication, Computing and Industry 6.0 (C216);2023-12-15

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