4 papers
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification
Jyun-Ping Kao, Jiaxin Yang, C. -C. Jay Kuo +1
Echocardiography is a cornerstone for managing heart failure (HF), with Left Ventricular Ejection Fraction (LVEF) being a critical metric for guiding therapy. However, manual LVEF…
LG-NuSegHop: A Local-to-Global Self-Supervised Pipeline For Nuclei Instance Segmentation
Vasileios Magoulianitis, Catherine A. Alexander, Jiaxin Yang +1
Nuclei segmentation is the cornerstone task in histology image reading, shedding light on the underlying molecular patterns and leading to disease or cancer diagnosis. Yet, it is a…
GUSL: A Novel and Efficient Machine Learning Model for Prostate Segmentation on MRI
Jiaxin Yang, Vasileios Magoulianitis, Catherine Aurelia Christie Alexander +8
Prostate and zonal segmentation is a crucial step for clinical diagnosis of prostate cancer (PCa). Computer-aided diagnosis tools for prostate segmentation are based on the deep le…
RadHop-Net: A Lightweight Radiomics-to-Error Regression for False Positive Reduction In MRI Prostate Cancer Detection
Vasileios Magoulianitis, Jiaxin Yang, Catherine A. Alexander +1
Clinically significant prostate cancer (csPCa) is a leading cause of cancer death in men, yet it has a high survival rate if diagnosed early. Bi-parametric MRI (bpMRI) reading has…