Publications by authors named "Baolin Tan"
A multi-task fusion model based on a residual-Multi-layer perceptron network for mammographic breast cancer screening.
Comput Methods Programs Biomed
April 2024
Article Synopsis
- Deep learning is increasingly being used in medical computer-aided diagnosis, specifically for tasks like lesion segmentation and predicting benign states in breast cancer screening.
- A multi-task fusion model was developed to improve diagnosis by combining multiple tasks, allowing for a more comprehensive analysis of mammograms.
- This model showed superior performance in breast cancer screening compared to existing models, with high accuracy scores, and provides valuable radiological insights and risk assessments for radiologists.
Epilepsy is a recurrent chronic brain disease that affects nearly 75 million people around the world. Therefore, the ability to reliably predict epileptic seizures would be instrumental for implementing interventions to reduce brain injury and improve patients' quality of life. In addition to classical machine learning algorithms and feature engineering methods, the use of electroencephalography (EEG) to predict seizures has gradually become a mainstream trend.
View Article and Find Full Text PDF