You are in : Home » Results & submissions » Select UOA » 15 - General Engineering » View submission: City University London » Outputs » Detail

Output details

15 - General Engineering

City University London

Return to search Previous output Next output

Output 44 of 212 in the submission

Article title

CAIMAN: An online algorithm repository for Cancer Image Analysis

Type

D - Journal article

DOI

10.1016/j.cmpb.2010.07.007

Title of journal

Computer Methods and Programs in Biomedicine

Article number

Volume number

103

Issue number

First page of article

ISSN of journal

0169-2607

Year of publication

2011

URL

Number of additional authors

Additional information

CAIMAN (www.caiman.org.uk) is the culmination of an interdisciplinary partnership between high-performance computing, image analysis and oncology to establish an open website where life scientists upload and process images through specialised algorithms in a high-performance cluster and receive free quantitative results by email. Reyes-Aldasoro coordinated the project, created the website and designed the image-analysis algorithms (Reyes-Aldasoro (Elec Lett 2008), Reyes-Aldasoro (Elec Lett 2009), Reyes-Aldasoro (J Microscopy 2010), Reyes-Aldasoro (Microvascular Res 2012)). CAIMAN has processed more than 2,700 images by 68 users, has visits from more than 1,310 unique IP addresses in 63 countries and over 12,800 page views.

Interdisciplinary

Cross-referral requested

Research group

C - Sensors & Instrumentation

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract