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AI assisted method for efficiently generating breast ultrasound screening reports

2021-07-28 15:21:57
Shuang Ge, Qiongyu Ye, Wenquan Xie, Desheng Sun, Huabin Zhang, Xiaobo Zhou, Kehong Yuan
arXiv_CV
   
Abstract

Ultrasound is the preferred choice for early screening of dense breast cancer. Clinically, doctors have to manually write the screening report which is time-consuming and laborious, and it is easy to miss and miswrite. Therefore, this paper proposes a method for efficiently generating personalized breast ultrasound screening preliminary reports by AI, especially for benign and normal cases which account for the majority. Doctors then make simple adjustments or corrections to quickly generate final reports. The proposed approach has been tested using a database of 1133 breast tumor instances. Experimental results indicate this pipeline improves doctors' work efficiency by up to 90%, which greatly reduces repetitive work.

Abstract (translated)

URL

https://arxiv.org/abs/2107.13431

PDF

https://arxiv.org/pdf/2107.13431.pdf

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