Web services for the DDSM and digital mammography research

Chris Rose; Daniele Turi; Alan Williams; Katy Wolstencroft; Chris Taylor

doi:10.1007/11783237_51

Web services for the DDSM and digital mammography research

Chris Rose, Daniele Turi, Alan Williams, Katy Wolstencroft, Chris Taylor

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The Digital Database for Screening Mammography (DDSM) is an invaluable resource for digital mammography research. However, there are two particular shortcomings that can pose a significant barrier to many of those who may want to use the resource: 1) the actual mammographic image data is encoded using a non-standard lossless variant of the JPEG image format; 2) although detailed metadata is provided, it is not in a form that permits it to be searched, manipulated or reasoned over by standard tools. This paper describes web services that will allow both humans and computers to query for, and obtain, mammograms from the DDSM in a standard and well-supported image file format. Further, this paper describes how these and other services can be used within grid-based workflows, allowing digital mammography researchers to make use of distributed computing facilities. © Springer-Verlag Berlin Heidelberg 2006.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)\|Lect. Notes Comput. Sci.
Pages	376-383
Number of pages	7
Volume	4046
DOIs	https://doi.org/10.1007/11783237_51
Publication status	Published - 2006
Event	8th International Workshop on Digital Mammography, IWDM 2006 - Manchester Duration: 1 Jul 2006 → …

Conference

Conference	8th International Workshop on Digital Mammography, IWDM 2006
City	Manchester
Period	1/07/06 → …

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10.1007/11783237_51

Cite this

@inproceedings{a189735178f44766aabcc03351590306,

title = "Web services for the DDSM and digital mammography research",

abstract = "The Digital Database for Screening Mammography (DDSM) is an invaluable resource for digital mammography research. However, there are two particular shortcomings that can pose a significant barrier to many of those who may want to use the resource: 1) the actual mammographic image data is encoded using a non-standard lossless variant of the JPEG image format; 2) although detailed metadata is provided, it is not in a form that permits it to be searched, manipulated or reasoned over by standard tools. This paper describes web services that will allow both humans and computers to query for, and obtain, mammograms from the DDSM in a standard and well-supported image file format. Further, this paper describes how these and other services can be used within grid-based workflows, allowing digital mammography researchers to make use of distributed computing facilities. {\textcopyright} Springer-Verlag Berlin Heidelberg 2006.",

author = "Chris Rose and Daniele Turi and Alan Williams and Katy Wolstencroft and Chris Taylor",

year = "2006",

doi = "10.1007/11783237_51",

language = "English",

isbn = "3540356258",

volume = "4046",

pages = "376--383",

booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.",

note = "8th International Workshop on Digital Mammography, IWDM 2006 ; Conference date: 01-07-2006",

}

Rose, C, Turi, D, Williams, A, Wolstencroft, K & Taylor, C 2006, Web services for the DDSM and digital mammography research. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. vol. 4046, pp. 376-383, 8th International Workshop on Digital Mammography, IWDM 2006, Manchester, 1/07/06. https://doi.org/10.1007/11783237_51

Web services for the DDSM and digital mammography research. / Rose, Chris; Turi, Daniele; Williams, Alan et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. Vol. 4046 2006. p. 376-383.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Web services for the DDSM and digital mammography research

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AU - Turi, Daniele

AU - Williams, Alan

AU - Wolstencroft, Katy

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N2 - The Digital Database for Screening Mammography (DDSM) is an invaluable resource for digital mammography research. However, there are two particular shortcomings that can pose a significant barrier to many of those who may want to use the resource: 1) the actual mammographic image data is encoded using a non-standard lossless variant of the JPEG image format; 2) although detailed metadata is provided, it is not in a form that permits it to be searched, manipulated or reasoned over by standard tools. This paper describes web services that will allow both humans and computers to query for, and obtain, mammograms from the DDSM in a standard and well-supported image file format. Further, this paper describes how these and other services can be used within grid-based workflows, allowing digital mammography researchers to make use of distributed computing facilities. © Springer-Verlag Berlin Heidelberg 2006.

AB - The Digital Database for Screening Mammography (DDSM) is an invaluable resource for digital mammography research. However, there are two particular shortcomings that can pose a significant barrier to many of those who may want to use the resource: 1) the actual mammographic image data is encoded using a non-standard lossless variant of the JPEG image format; 2) although detailed metadata is provided, it is not in a form that permits it to be searched, manipulated or reasoned over by standard tools. This paper describes web services that will allow both humans and computers to query for, and obtain, mammograms from the DDSM in a standard and well-supported image file format. Further, this paper describes how these and other services can be used within grid-based workflows, allowing digital mammography researchers to make use of distributed computing facilities. © Springer-Verlag Berlin Heidelberg 2006.

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DO - 10.1007/11783237_51

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BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.

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ER -

Web services for the DDSM and digital mammography research

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