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

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.

More Reliable AI Solution: Breast Ultrasound Diagnosis Using Multi-AI Combination

no code implementations • 7 Jan 2021 • Jian Dai, Shuge Lei, Licong Dong, Xiaona Lin, Huabin Zhang, Desheng Sun, Kehong Yuan

Significance: 1) The proposed method makes the target detection model more suitable for diagnosing breast ultrasound images.

Image Super-Resolution Medical Diagnosis +1

Semi-supervised Breast Lesion Detection in Ultrasound Video Based on Temporal Coherence

no code implementations • 16 Jul 2019 • Sihong Chen, Weiping Yu, Kai Ma, Xinlong Sun, Xiaona Lin, Desheng Sun, Yefeng Zheng

Breast lesion detection in ultrasound video is critical for computer-aided diagnosis.

Lesion Detection Scheduling