medicalimaging   84

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DLTK/04_input_normalisation_and_augmentation.ipynb at master · DLTK/DLTK
Deep Learning Toolkit for Medical Image Analysis. Contribute to DLTK/DLTK development by creating an account on GitHub.
medicalimaging  deeplearning 
yesterday by lena
The Medical Imaging Interaction Toolkit (MITK) -
The Medical Imaging Interaction Toolkit (MITK) is a free open-source software system for development of interactive medical image processing software. MITK combines the Insight Toolkit (ITK) and the Visualization Toolkit (VTK) with an application framework. As a toolkit, MITK offers those features that are relevant for the development of interactive medical imaging software covered neither by ITK nor VTK, see the Toolkit Features for details.
medicalimaging  toolkit 
2 days ago by lena
xinario/awesome-gan-for-medical-imaging: Awesome GAN for Medical Imaging
Awesome GAN for Medical Imaging. Contribute to xinario/awesome-gan-for-medical-imaging development by creating an account on GitHub.
medicalimaging  deeplearning  gans 
4 days ago by lena
Displaying 3D images in Python - Terbium
Use the 3D visualization capabilities of matplotlib to display 3D images and volumetric data.
plots  matplotlib  3d  visualization  medicalimaging 
5 days ago by lena
Medical Segmentation Decathlon
Open CT and MRI datasets. Liver tumours, brain tumours, hippocampus, lung tumours, prostate, cardiac, pancreas tumour, colon cancer,
medicalimaging  datasets 
5 days ago by lena
FIPS: X-ray tomographic datasets
Tomographic X-ray data of a lotus root slice filled with different chemical elements
Tomographic X-ray data of a walnut
Tomographic X-ray data of a carved cheese
Tomographic X-ray data of 3D emoji
Tomographic X-ray data of 3D cross
ct  datasets  medicalimaging  fun 
6 days ago by lena
choosehappy/QuickReviewer: Allows for multiple people to quickly review images and provide categorical feedback
A quick web user interface which allows multiple user to rapidly review images and assign them a value
medicalimaging  annotations 
7 days ago by lena
MIDL 2019
All contributions to MIDL 2019 are freely available on OpenReview. Full papers are also published as Proceedings of Machine Learning Research. All plenary sessions were live streamed and are now available on the MIDL YouTube channel.
medicalimaging  deeplearning  video  research 
7 days ago by lena
SpineWeb : Main / Datasets : browse
■ Dataset 16: 609 spinal anterior-posterior x-ray images
■ Dataset 15: Test set for CSI 2014 Vertebra Segmentation Challenge
■ Dataset 14: IVDM3Seg – Intervertebral Disc (IVD) Localization and Segmentation from 3D Multi-Modality MR (M3) Images
■ Dataset 13: xVertSeg - Segmentation and Classification of Fractured Vertebrae
■ Dataset 12: Testing set A of the MICCAI Challenge on Vertebral Fracture Analysis
■ Dataset 11: High anisotropy MRIs of the lower back
■ Dataset 10: Multi-Modality Vertebra Recognition in Arbitrary Views using 3D Deformab le Hierarchical Model
■ Dataset 9: Automatic vertebral fracture analysis and identification from VFA by DXA
■ Dataset 8: Osteoporotic vertebral fractures
■ Dataset 7: Intervertebral Disc Localization and Segmentation: 3D T2-weighted Turbo Spin Echo MR image Database
■ Dataset 6: Intervertebral Disc Localization and Segmentation Multi-modality MRI Spine Image Database
■ Dataset 5: Lumbar vertebra segmentation CT image database
■ Dataset 4: CVIP Spinal CT Database
■ Dataset 3: Vertebrae Localization and Identification
■ Dataset 2: Spine and Vertebrae Segmentation
■ Data Description
■ Annotations
■ Terms and Conditions
■ People Involved
■ Dataset 1: Cross Modality Spinal Images for Spin
datasets  spine  medicalimaging 
13 days ago by lena
Bio-Segmentation | Center for Bio-Image Informatics | UC Santa Barbara
The UCSB Bio-Segmentation Benchmark dataset consists of 2D/3D images (Section 1) and time-lapse sequences that can be used for evaluating the performance of novel state of the art computer vision algorithms. Tasks include segmentation, classification, and tracking.

For each class of problem, at least one ground truth dataset is available. We also provide performance metrics for comparing the results of the algorithms with the ground truth. Additional ground truth data will be posted...
datasets  medicalimaging  ml  deeplearning 
14 days ago by lena
OHIF Website
Open Health Imaging Foundation. Free online DICOM viewer
dicom  medicalimaging  free  tools 
19 days ago by lena
dicompyler is an extensible open source radiation therapy research platform based on the DICOM standard. It also functions as a cross-platform DICOM RT viewer.

dicompyler is written in Python and is built on a number of technologies including: pydicom, wxPython, PIL, and matplotlib and runs on Windows, Mac OS X and Linux.
dicom  medicalimaging  tools 
21 days ago by lena
ARVO_Finlayson - ARVO_2019_Finlayson.pdf
The need for clinical (and trialist) commonsense in AI algorithm design.

-- very good.
medicalimaging  ml  deeplearning  ai 
27 days ago by lena

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