BSM loss: A superior way in modeling aleatory uncertainty of fine_grained classification

no code implementations • 9 Jun 2022 • Shuang Ge, Kehong Yuan, Maokun Han, Desheng Sun, Huabin Zhang, Qiongyu Ye

Artificial intelligence(AI)-assisted method had received much attention in the risk field such as disease diagnosis.

Data Augmentation

MIPR:Automatic Annotation of Medical Images with Pixel Rearrangement

no code implementations • 22 Apr 2022 • Pingping Dai, Haiming Zhu, Shuang Ge, Ruihan Zhang, Xiang Qian, Xi Li, Kehong Yuan

In this paper, inspired by self-training of semi-supervised learning, we pro? pose a novel approach to solve the lack of annotated data from another angle, called medical image pixel rearrangement (short in MIPR).

Pseudo Label Segmentation +1

AI assisted method for efficiently generating breast ultrasound screening reports

no code implementations • 28 Jul 2021 • Shuang Ge, Qiongyu Ye, Wenquan Xie, Desheng Sun, Huabin Zhang, Xiaobo Zhou, Kehong Yuan

Aim: We proposed a new pipeline to automatically generate AI breast ultrasound screening reports based on ultrasound images, aiming to assist doctors in improving the efficiency of clinical screening and reducing repetitive report writing.