Medical Imaging

US data from in vivo rat kidney

This demo is intended to implement Ultrasound Localization Microscopy by a modified sub-pixel convolutional neural network (mSPCN-ULM). The detailed information can be referred in Liu et al. "Deep Learning for Ultrasound Localization Microscopy (DOI: 10.1109/TMI.2020.2986781)".

Categories:: Medical Imaging

905 Views

Transcranial Doppler Ultrasound Database (Philips CX50 ultrasound system)

Transcranial Doppler (TCD) echo data was recorded from healthy adults and neurocritical care adult patients. The insonated cerebral vessels were the middle cerebral artery (MCA) and the internal carotid artery (ICA). The ultrasound system used in this study was the Philips CX50.

Categories:: Biomedical and Health Sciences
Medical Imaging

2739 Views

ADAM: Automatic Detection challenge on Age-related Macular degeneration

ADAM is organized as a half day Challenge, a Satellite Event of the ISBI 2020 conference in Iowa City, Iowa, USA.

Categories:: Computer Vision
Health
Medical Imaging

3605 Views

ROIs of PDAC and HP

It includes 312 ROIs. An ROI is a rectangular BMP image region. A rectangular image region is located within a PDAC tumor region or within a HP region of a slice CT image. ROIs of 1-153 are PDAC, ROIs of 154:312 are HP.

Categories:: Artificial Intelligence
Image Processing
Medical Imaging

280 Views

Endoscopy Disease Detection and Segmentation (EDD2020)

Endoscopy is a widely used clinical procedure for the early detection of cancers in hollow-organs such as oesophagus, stomach, and colon. Computer-assisted methods for accurate and temporally consistent localisation and segmentation of diseased region-of-interests enable precise quantification and mapping of lesions from clinical endoscopy videos which is critical for monitoring and surgical planning. Innovations have the potential to improve current medical practices and refine healthcare systems worldwide.

Artificial Intelligence

Image Processing

Computer Vision

Machine Learning

Biomedical and Health Sciences

Medical Imaging

Submitted On:

Wed, 01/15/2020 - 11:24

Last Updated On:

Sat, 02/27/2021 - 05:11

Automatic lung segmentation results Nextmed project

Nextmed project is a software platform for the segmentation and visualization of medical images. It consist on a series of different automatic segmentation algorithms for different anatomical structures and a platform for the visualization of the results as 3D models.

This dataset contains the .obj and .nrrd files that correspond to the results of applying our automatic lung segmentation algorithm to the LIDC-IDRI dataset.

This dataset relates to 718 of the 1012 LIDC-IDRI scans.

Categories:: Artificial Intelligence
Computer Vision
Biomedical and Health Sciences
Medical Imaging
Other

698 Views

Raw data used in the manuscript "The use of mixed collagen-Matrigel matrices of increasing complexity recapitulates the biphasic role of cell adhesion in cancer cell migration: ECM sensing, remodeling and forces at the leading edge of cancer invasion"

The migration of cancer cells is highly regulated by the biomechanical properties of their local microenvironment. Using 3D scaffolds of simple composition, several aspects of cancer cell mechanosensing (signal transduction, EMC remodeling, traction forces) have been separately analyzed in the context of cell migration. However, a combined study of these factors in 3D scaffolds that more closely resemble the complex microenvironment of the cancer ECM is still missing.

Categories:: Biomedical and Health Sciences
Medical Imaging
Cancer Data

327 Views

OCTA-500

Optical coherence tomography angiography (OCTA) is a retinal imaging modality that allows a micron-level resolution to present the three-dimensional structure of the retinal vascular.