RAPID CROSS-VALIDATED GROUND TRUTH ANNOTATION OF LARGE IMAGE DATASETS FOR IMAGE ANALYTICS

Annotation of large image datasets is provided. In various embodiments, a plurality of medical images is received. At least one collection is formed containing a subset of the plurality of medical images. One or more image from the at least one collection is provided to each of a plurality of remote...

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Hauptverfasser: Syeda-Mahmood, Tanveer, Beymer, David, Gur, Yaniv, Bulu, Hakan, Moradi, Mehdi, Abedin, Shafiqul, Pillai, Anup, Talmor, Guy
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creator Syeda-Mahmood, Tanveer
Beymer, David
Gur, Yaniv
Bulu, Hakan
Moradi, Mehdi
Abedin, Shafiqul
Pillai, Anup
Talmor, Guy
description Annotation of large image datasets is provided. In various embodiments, a plurality of medical images is received. At least one collection is formed containing a subset of the plurality of medical images. One or more image from the at least one collection is provided to each of a plurality of remote users. An annotation template is provided to each of the plurality of remote users. Annotations for the one or more image are received from each of the plurality of remote users. The annotations and the plurality of medical images are stored together.
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subjects CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
title RAPID CROSS-VALIDATED GROUND TRUTH ANNOTATION OF LARGE IMAGE DATASETS FOR IMAGE ANALYTICS
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