Uncertainty Modeling in Ultrasound Image Segmentation for Precise Fetal Biometric Measurements

no code implementations • 17 Jan 2024 • Shuge Lei

Similarly, the average absolute error in fetal femur measurement is 2. 6163mm, with a relative error of 6. 3336%.

Image Segmentation Medical Image Segmentation +2

Dual-Channel Reliable Breast Ultrasound Image Classification Based on Explainable Attribution and Uncertainty Quantification

no code implementations • 8 Jan 2024 • Shuge Lei, Haonan Hu, Dasheng Sun, Huabin Zhang, Kehong Yuan, Jian Dai, Jijun Tang, Yan Tong

This paper focuses on the classification task of breast ultrasound images and researches on the reliability measurement of classification results.

Image Classification Uncertainty Quantification

On Safe and Usable Chatbots for Promoting Voter Participation

no code implementations • 16 Dec 2022 • Bharath Muppasani, Vishal Pallagani, Kausik Lakkaraju, Shuge Lei, Biplav Srivastava, Brett Robertson, Andrea Hickerson, Vignesh Narayanan

Chatbots, or bots for short, are multi-modal collaborative assistants that can help people complete useful tasks.

Knowledge AI: New Medical AI Solution for Medical image Diagnosis

no code implementations • 8 Jan 2021 • YingNi Wang, Shuge Lei, Jian Dai, Kehong Yuan

The implementation of medical AI has always been a problem.

Clinical Knowledge

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