Synopsis of recent research by authors named "Size Hou"
- Size Hou's research primarily focuses on the application of deep learning techniques in medical imaging, particularly ultrasound, to improve diagnostic accuracy for malignancies in breast and liver lesions.
- One of the notable studies involves developing a deep learning model aimed at reducing malignancy rates among BI-RADS 4A breast lesions, utilizing a dataset of 479 lesions to differentiate between benign and malignant cases effectively.
- Another significant work addresses the limitations of current hepatocellular carcinoma (HCC) surveillance in HBV-infected populations by implementing deep learning to identify HCC in patients with normal α-fetoprotein levels, enhancing diagnostic methods with a training dataset comprising 209 confirmed HCC and 198 focal nodular hyperplasia cases.