New Artificial Intelligence-based Methods for COVID-19 Diagnosis using Medical Devices-Reference-Cited by-同舟云学术

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New Artificial Intelligence-based Methods for COVID-19 Diagnosis using Medical Devices

Published:2023-08-23 Issue: Volume: Page:
ISSN:
Container-title:2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)
language:
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Author:

Puhazhendhi T.¹,Rajakumari K.¹,Nandini M. S.²,Sriram M.³

Affiliation:

1. Bharath Institute of Higher Education,Department of CS,Tamil Nadu,India

2. Sree Balaji Medical College & Hospital,Department of Microbiology,Chennai,Tamil Nadu,India

3. Bharath Institute of Higher Education and Research (BIHER),Department of CSE,Chennai,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10250420/10250450/10250719.pdf?arnumber=10250719

Reference16 articles.

1. YOLO-lung: A Practical Detector Based on Imporved YOLOv4 for Pulmonary Nodule Detection

2. Using YOLO based deep learning network for real time detection and localization of lung nodules from low dose CT scans

3. A fully automated deep learning-based network for detecting COVID-19 from a new and large lung CT scan dataset

4. Attentive CT Lesion Detection Using Deep Pyramid Inference with Multi-scale Booster

5. Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation, and Diagnosis for COVID-19

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. Enhancing COVID-19 Detection with YOLOv5 Object Detection Algorithm in Chest X-ray Images;2024 3rd International Conference for Innovation in Technology (INOCON);2024-03-01

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