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Libraries and tools for 3D reconstruction, geometric analysis, mesh generation and surface data analysis in image-based blood vessel modeling.
BpMatch is an algorithm that, given 2 strings S and T, compute the maximum coverage of T using only subequence or reversed complemented subsequences of S, of minimum length l.
PocketAnalyzerPCA combines a geometric algorithm for detecting pockets in proteins with Principal Component Analysis and clustering. This enables visualization and analysis of pocket conformational distributions of large sets of protein structures.
TMAJ is software for Tissue MicroArrays (TMA's). Patients, specimens, blocks, slides, cores, images, and scores can all be stored and viewed. Features include advanced security, custom dynamic fields, and an imageanalysis program.
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A Matlab code to characterize and analyze Gafchromic film for radiotherapy applications. Single or dual color analysis (respectively for EBT or EBT2 film types). Accurate uncertainty estimations. Requirements: Matlab (min. ver. 2007a), Image toolbox.
Java GUI to analyze one (or more, in batch mode) datasets with several feature selection methods at the same time and also performing an "ensemble" analysis. It can be easily extended to include any feature selection algorithm.
Frida is imageanalysis software. Frida was developed by the Johns Hopkins University Tissue Microarray Core Facility. It is open source and written in 100% Java. Frida makes use of functionality from the NIH's ImageJ application. Note: Frida was integr
vuVolume is a framework for volume rendering algorithms in C++. When creating a new rendering method in vuVolume it is possible to just concentrate on the actual algorithm and let the framework take care of the more administrative tasks.
SMIT (Scientific & Medical Imaging Tool) assists in imageanalysis of 3D datasets. It supports image registration, image segmentation, 3D ROI analysis, and least square fitting. Its powerful OpenGL engine displays your data fast and accurately. Enjoy!
Medical Image Computing Workflow (MICFlow) is a simple, easy but flexible, extensible and powerful workflow system to automate medical image computing tasks such as segmentation, registration and analysis. It's pure Python so can be used on any platform
ARPI is a spanish acronym for Analysis, Acknowledgement and Image Procesing. Allowing a person with poor programming knowledge to create algorithms, configure theirs parameters(images, matrixes, etc) and run them, using a computer or network computers.
Stereologist assists the medical researcher in the classification of microscopic tissue samples captured as digital image files. The data collected can then be exported to a spreadsheet for further analysis.