作者
Haifa Ghabri, Wyssem Fathallah, Mohamed Hamroun, Soufiene Ben Othman, Hedia Bellali, Hedi Sakli, Mohamed Naceur Abdelkrim
发表日期
2023/11/2
研讨会论文
2023 IEEE International Workshop on Mechatronic Systems Supervision (IW_MSS)
页码范围
1-6
出版商
IEEE
简介
In this research, we present an approach to improve thyroid diagnosis and provide experts in medical fields by leveraging artificial intelligence (AI) technology. Our research aims to speed up the diagnostic process, particularly in emergency situations where specialized medical personnel are not always available. Our technology includes a user-friendly interface that enables healthcare professionals to efficiently submit ultrasound scans of their patients' thyroids. The images are then analyzed using integrated AI algorithms based on the YOLOv5 object detection model. In real-time, these algorithms efficiently and rapidly identify and localize thyroid areas. With an overall precision rate of 0.879 and a recall rate of 0.862, the results show a high degree of precision and recall. The average precision (mAP50) is 0.892, confirming the accuracy of localization. The system offers invaluable support to healthcare …
学术搜索中的文章
H Ghabri, W Fathallah, M Hamroun, SB Othman… - 2023 IEEE International Workshop on Mechatronic …, 2023