New Insight Toolkit (ITK) module for Structure Preserving Color Normalization
Introduction We have added a new module to the Insight Toolkit (ITK) to perform Structure Preserving Color Normalization on an H & E image using … Read More
Posts tagged "Pathology"
Cell Nuclei Detection on Whole-Slide Histopathology Images Using HistomicsTK and Faster R-CNN Deep Learning Models
Abstract In this blog post, we report our work using faster R-CNN based deep learning models for nuclei detection in whole slide histology images. We … Read More
Diagnosis of Adenocarcinomas in Histology Images Using Persistence Homology and Deep Learning
Differentiability and topological characteristics of the glandular structures is one of the key factors in the diagnosis and grading of adenocarcinomas through histology images. We … Read More
Characterizing Glandular Architecture for Cancer Diagnosis in Histopathology Images Using Vectorized Persistent Homology Representations
This blog article presents an overview of the work presented recently in our ISBI 2018 conference paper entitled “Vectorized Persistent Homology Representations for Characterizing Glandular … Read More
Digital Slide Archive, Large Image, and HistomicsTK: Open-source Informatics Tools for Management, Visualization, and Analysis of Digital Histopathology Data
This blog article presents an overview of the work being done in collaboration with Emory University on an ongoing NIH grant funded project for the … Read More