Full Interpretability CBMIR to Help Minimize Radiologist Analysis Search Time-Reference-Cited by-同舟云学术

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Full Interpretability CBMIR to Help Minimize Radiologist Analysis Search Time

Published:2023-06-19 Issue: Volume: Page:
ISSN:
Container-title:2023 International Wireless Communications and Mobile Computing (IWCMC)
language:
Short-container-title:

Author:

Souid Abdelbaki¹,Othman Soufiene Ben²,Hamroun Mohamed³,Sakli Hedi⁴

Affiliation:

1. University of Gabes,MACS Laboratory, National Engineering School of Gabes,Gabes,Tunisia,6029

2. University of Sousse,PRINCE Laboratory Research, ISITcom, Hammam Sousse,Tunisia

3. IL XLIM University of Limoges,France

4. EITA Consulting, 7 rue du chant des oiseaux,Montesson,France,78360

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10182387/10182368/10183105.pdf?arnumber=10183105

Reference19 articles.

1. VinDr-CXR: An open dataset of chest X-rays with radiologist’s annotations

2. Diagnostic accuracy of computer aided reading of chest x-ray in screening for pulmonary tuberculosis in comparison with Gene-Xpert

3. Improved Target Detection Algorithm Based on YOLO

4. Weighted boxes fusion: Ensembling boxes from different object detection models

5. You Only Look Once: Unified, Real-Time Object Detection

Cited by 1 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. Skin Lesion Segmentation Using U-Net With Different Backbones: Comparative Study;2023 IEEE Afro-Mediterranean Conference on Artificial Intelligence (AMCAI);2023-12-13

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