5 citations · 5 across the 6 of their papers we have counts for
6 papers
A Self-attention Residual Convolutional Neural Network for Health Condition Classification of Cow Teat Images
Minghao Wang
Milk is a highly important consumer for Americans and the health of the cows' teats directly affects the quality of the milk. Traditionally, veterinarians manually assessed teat he…
Supervised Learning Model for Key Frame Identification from Cow Teat Videos
Minghao Wang, Pinxue Lin
This paper proposes a method for improving the accuracy of mastitis risk assessment in cows using neural networks and video analysis. Mastitis, an infection of the udder tissue, is…
Foundation Model for Advancing Healthcare: Challenges, Opportunities, and Future Directions
Yuting He, Fuxiang Huang, Xinrui Jiang +4
Foundation model, which is pre-trained on broad data and is able to adapt to a wide range of tasks, is advancing healthcare. It promotes the development of healthcare artificial in…
Medical Image Debiasing by Learning Adaptive Agreement from a Biased Council
Luyang Luo, Xin Huang, Minghao Wang +2
Deep learning could be prone to learning shortcuts raised by dataset bias and result in inaccurate, unreliable, and unfair models, which impedes its adoption in real-world clinical…
A Coarse-to-fine Morphological Approach With Knowledge-based Rules and Self-adapting Correction for Lung Nodules Segmentation
Xinliang Fu, Jiayin Zheng, Juanyun Mai +13
The segmentation module which precisely outlines the nodules is a crucial step in a computer-aided diagnosis(CAD) system. The most challenging part of such a module is how to achie…
MHSnet: Multi-head and Spatial Attention Network with False-Positive Reduction for Pulmonary Nodules Detection
Juanyun Mai, Minghao Wang, Jiayin Zheng +12
The mortality of lung cancer has ranked high among cancers for many years. Early detection of lung cancer is critical for disease prevention, cure, and mortality rate reduction. Ho…