Image-processing application
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Updated
Nov 21, 2017 - C++
Medical imaging is the technique and process of creating visual representations of the interior of a body for clinical analysis, and medical intervention.
Image-processing application
Resample any image 2D, 3D, with 1 or multiple components and a wide variety of formats NIFTI, NRRD, DICOM
Classification of x-ray images using grid approach : Image Processing Lab Project
A lightweight C++ DICOM library.
Convert Medical 3D Volume Scan from DICOM (dcm) format to compressed Nifti (nii.gz)
A collaborative project to extract automatically the bounding box of lungs in thoracic CT scans
Micron Scale Tracking of surgical forceps using a quadcamera system
Concatenate a sequence of 2D images (slices) e.g. jpeg into a 3D stack (volume) e.g. Nifti (ITK-based)
Convert a Medical 3D Scan from a set of DICOM slices (dcm) into a single compressed Nifti (nii.gz) file
IoT-based-ECG-Heartrate monitoring-system
HDR-MRI Algorithms from "Local contrast-enhanced MR images via high dynamic range processing" published in MRM
Large-scale medical image processing and reconstruction toolbox
Random forests for 2D and 3D image analysis
A Modular 3D Volume Processor
Implementation of RESOLUTE pseudo-CT method for mMR.
LabVIEW-compatible, extensible C++ API for capturing live ultrasound streams
Shanghai JiaoTong University IRMV Lab Surgery Robot Software (README is in Chinese)