id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-14686	Yao, Jerry; Zou, Yuan; Du, Shuqian; Wu, Hong; Yuan, Bin	Progress in the Application of Artificial Intelligence in Ultrasound Diagnosis of Breast Cancer	2023	4	.pdf	application/pdf	2818	124	42	At present, the application of computer-aided detection methods in breast cancer ultrasound has been gradually promoted, and the combined application of artificial intelligence has played an advantageous role in the field of breast disease ultrasound diagnosis, such as shortening the examination time, effectively improving the detection rate and diagnostic accuracy rate. ROC curves were used to compare the mammogram findings of two doctors after CAD Research methods for benign and malignant tumor detection in breast ultrasound images are mainly divided into two categories: (1) Methods based on manual feature extraction: The gray scale symbiosis matrix was calculated by extracting the minimum boundary rectangular region around the lesion, and 22 symbiosis statistics were calculated from 6 quantization levels, 4 directions and 10 distances, respectively.	cache/fcis-14686.pdf	txt/fcis-14686.txt