Medical Image Analysis

The dataset contains the MR and model data for subjects S1, S2, and S3. For a detailed explanation of the files content, please refer to the included readme file.

3D meshes of the right nasal cavity extracted from publicly available head CTs obtained from the Cancer Imaging Archive (TCIA). The particular datasets are: 1. Data from head-neck cetuximab (http://doi.org/10.7937/K9/TCIA.2015.7AKGJUPZ) 2. Data from qin-headneck (http://doi.org/10.7937/K9/TCIA.2015.K0F5CGLI) The meshes are extracted using our segmentation methods.

FINTA/CINTA/GESTA/FIESTA datasets and neural network weights

This is the supplementary online material, including full data, evaluation, and executables, for the paper "Feature-based multi-resolution registration of immunostained serial sections" that appeared in Medical Image Analysis, Volume 35, January 2017, Pages 288–302. Same material was deposited online under https://gdv-server.inf.uni-bayreuth.de/gdvcloud/index.php/s/NnSov0O65n9Gp01 We also include here further supplementary files deposited at the journal page (http://www.sciencedirect.com/science/article/pii/S136184151630127X) under CC-BY licence. See there for the definite version of the paper or http://www.mathematik.uni-marburg.de/~lobachev/papers/lobachev-media16-registration-preprint.pdf for the preprint.

The MCO study whole slide image collection consists of 1500 digitised tissue slides of colorectal cancers. From 1994 to 2010, the Molecular and Cellular Oncology (MCO) Study group conducted a study of individuals undergoing treatment for colorectal cancer. For the study, they systematically collected tissue samples and clinical and pathological information from more than 1500 people who had tumours surgically removed from their large bowel. This collection represents one typical section from each tumour case, stained with Hematoxylin and eosin, and scanned using a x40 objective. The resolution of the digitised images approaches that visible under an optical microscope - more than 100,000 dpi. At this resolution, each image is around 2 Gigabytes, bringing the size of the 1500 images in the MCO Whole Slide Image Collection to 3 Terabytes. The MCO whole slide image collection is now available on the Intersect Australia Research Data Storage Infrastructure (RDSI) Node. Originating source(s): MCO research group, UNSW (1993-2011)