Publications by authors named "Ting-Sheng Su"
Automated Quantification of HER2 Amplification Levels Using Deep Learning.
IEEE J Biomed Health Inform
October 2024
Article Synopsis
- HER2 assessment is crucial for selecting patients for anti-HER2 treatments, but manually analyzing HER2 amplification is time-consuming and prone to errors due to subjective interpretations and complex cell imagery.
- To overcome these challenges, a new deep learning model has been developed that can accurately quantify HER2 amplification status in breast cancer by analyzing FISH and DISH datasets, achieving high accuracy and outperforming existing methods.
- The model was also successfully applied to assess HER2 amplification in gastric cancer patients, yielding promising results with high accuracy and precision, indicating its potential beyond breast cancer applications.