Výsledky vyhledávání

Akademický článek

Deep learning driven diagnosis of malignant soft tissue tumors based on dual-modal ultrasound images and clinical indexes

Autor: Haiqin Xie, Yudi Zhang, Licong Dong, Heng Lv, Xuechen Li, Chenyang Zhao, Yun Tian, Lu Xie, Wangjie Wu, Qi Yang, Li Liu, Desheng Sun, Li Qiu, Linlin Shen, Yusen Zhang

Publikováno v: Frontiers in Oncology, Vol 14 (2024)

BackgroundSoft tissue tumors (STTs) are benign or malignant superficial neoplasms arising from soft tissues throughout the body with versatile pathological types. Although Ultrasonography (US) is one of the most common imaging tools to diagnose malig

Externí odkaz: https://doaj.org/article/8d7bed35526d4f32b7bc4f3940f05998

Zobrazit plný text záznamu

Artificial Intelligence Medical Ultrasound Equipment: Application of Breast Lesions Detection

Autor: Kehong Yuan, Zihao Zhang, Licong Dong, Xuesheng Zhang, Xiaona Lin, Xinlong Sun, Desheng Sun

Publikováno v: Ultrasonic Imaging. 42:191-202

Breast cancer ranks first among cancers affecting women’s health. Our work aims to realize the intelligence of the medical ultrasound equipment with limited computational capability, which is used for the assistant detection of breast lesions. We e

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a3b38ab5378faa0830cd0824858bd4e
https://doi.org/10.1177/0161734620928453

Zobrazit plný text záznamu

Ultrasonic Diagnosis of Breast Nodules Using Modified Faster R-CNN

Autor: Xiaona Lin, Xuesheng Zhang, Licong Dong, Sure Zhang, Zihao Zhang, Desheng Sun, Kehong Yuan, Xueling Zhang

Publikováno v: Ultrasonic imaging. 41(6)

Breast cancer has become the biggest threat to female health. Ultrasonic diagnosis of breast cancer based on artificial intelligence is basically a classification of benign and malignant tumors, which does not meet clinical demand. Besides, the curre

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d09fb9bd9f12ccc211c07b80bcd445d4
https://pubmed.ncbi.nlm.nih.gov/31615352

Zobrazit plný text záznamu

Incorporating Contrast-Enhanced Ultrasound into the BI-RADS Scoring System Improves Accuracy in Breast Tumor Diagnosis: A Preliminary Study in China

Autor: Bao-Ming Luo, Licong Dong, Xiaofeng Guan, Xiao-yun Xiao, Qiongchao Jiang, Huan Wu

Publikováno v: Ultrasound in medicinebiology. 42(11)

The aim of the study was to develop a scoring model incorporating the Breast Imaging Reporting and Data System (BI-RADS) and the contrast-enhanced ultrasound (CEUS) scoring system to differentiate between malignant and benign breast lesions. A total

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dddf0c63de61359e2d8118cf211cf94d
https://pubmed.ncbi.nlm.nih.gov/27544439

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání