caMicroscope

Toolkit for cancer imaging research

Technologies
python, javascript, mongodb, opencv, node
Topics
data visualization, image analysis, AI/ML, microscopy, dicom pathology
Toolkit for cancer imaging research
caMicroscope is a digital pathology data management, visualization and analysis platform. It consists of a set of web services to manage digital pathology images, associated clinical and imaging metadata, and human/machine generated annotations and markups. The image visualization client consists of HTML5 based web clients that support interactive rendering of the digitized image, and the creation and display of annotations and markups. In addition to the core caMicroscope digital pathology management framework, caMicroscope organization also consists of several other open source tools, in the domains of healthcare and big data. caMicroscope is used by several medical research organizations.
2024 Program

Successful Projects

Contributor
Qianqian Zhou
Mentor
Birm, NAN LI, Tony Pan
Organization
caMicroscope
Quality Triage via Image Visualization and Annotation
Develop a web application within caMicroscope to enable users to visually triage multiple slides, adding annotations such as quality scores or...
Contributor
Yuka Usui
Mentor
Birm, Brandon Gallas
Organization
caMicroscope
Pathologist Annotation Behavior Report
Many pathologists use caMicroscope to annotate WSI cases in their daily work. How pathologists annotate the slide and the different behaviors that...
Contributor
Shakib Khan
Mentor
Tony Pan, Tahsin Kurc
Organization
caMicroscope
Image Classification using Foundation Models
The aim of this project is to focus on patch-level classification tasks within the domain of whole slide tissue images. The approach involves...