12 citations · 33 across the 12 of their papers we have counts for
12 papers
Liver Steatosis Segmentation with Deep Learning Methods
Xiaoyuan Guo, Fusheng Wang, George Teodorou +2
Liver steatosis is known as the abnormal accumulation of lipids within cells. An accurate quantification of steatosis area within the liver histopathological microscopy images play…
Run-time Parameter Sensitivity Analysis Optimizations
Eduardo Scartezini, Willian Barreiros, Tahsin Kurc +4
Efficient execution of parameter sensitivity analysis (SA) is critical to allow for its routinely use. The pathology image processing application investigated in this work processe…
Tuning for Tissue Image Segmentation Workflows for Accuracy and Performance
Luis F. R. Taveira, Tahsin Kurc, Alba C. M. A. Melo +4
We propose a software platform that integrates methods and tools for multi-objective parameter auto- tuning in tissue image segmentation workflows. The goal of our work is to provi…
Clumped Nuclei Segmentation with Adjacent Point Match and Local Shape based Intensity Analysis for Overlapped Nuclei in Fluorescence In-Situ Hybridization Images
Xiaoyuan Guo, Hanyi Yu, Blair Rossetti +3
Highly clumped nuclei clusters captured in fluorescence in situ hybridization microscopy images are common histology entities under investigations in a wide spectrum of tissue-rela…
Analysis of Cellular Feature Differences of Astrocytomas with Distinct Mutational Profiles Using Digitized Histopathology Images
Mousumi Roy, Fusheng Wang, George Teodoro +3
Cellular phenotypic features derived from histopathology images are the basis of pathologic diagnosis and are thought to be related to underlying molecular profiles. Due to overwhe…
Segmentation of Overlapped Steatosis in Whole-Slide Liver Histopathology Microscopy Images
Mousumi Roy, Fusheng Wang, George Teodoro +3
An accurate steatosis quantification with pathology tissue samples is of high clinical importance. However, such pathology measurement is manually made in most clinical practices,…