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Multiresolution browsing of pathology images using wavelets.

dc.contributor.authorWang, J Z
dc.contributor.authorNguyen, J
dc.contributor.authorLo, K K
dc.contributor.authorLaw, C
dc.contributor.authorRegula, D
dc.date.accessioned2020-02-12T12:40:36Z
dc.date.available2020-02-12T12:40:36Z
dc.date.issued2000-02-01
dc.identifier.urihttp://dx.doi.org/Not available
dc.identifier.urihttps://lib.digitalsquare.io/xmlui/handle/123456789/60905
dc.description.abstractDigitized pathology images typically have very high resolution making it difficult to display in their entirety on the computer screen and inefficient to transmit over the network for educational purposes Progressive zooming of pathology images is desirable despite the availability of inexpensive networking bandwidth An efficient progressive image resolution refining system for on line distribution of pathology image using wavelets has been developed and is discussed in this paper The system is practical for real world applications pre processing and coding each 24 bit image of size 2400 x 3600 within 40 seconds on a Pentium II PC The transmission process is in real time Besides its exceptional speed the algorithm has high flexibility The server encodes the original pathology images without loss Based on the image request from a client the server dynamically generates and sends out the part of the image at the requested scale and quality requirement The algorithm is expandable for medical image databases such as PACS
dc.relation.uriProceedings / AMIA ... Annual Symposium. AMIA Symposium
dc.titleMultiresolution browsing of pathology images using wavelets.en
dcterms.abstractDigitized pathology images typically have very high resolution making it difficult to display in their entirety on the computer screen and inefficient to transmit over the network for educational purposes Progressive zooming of pathology images is desirable despite the availability of inexpensive networking bandwidth An efficient progressive image resolution refining system for on line distribution of pathology image using wavelets has been developed and is discussed in this paper The system is practical for real world applications pre processing and coding each 24 bit image of size 2400 x 3600 within 40 seconds on a Pentium II PC The transmission process is in real time Besides its exceptional speed the algorithm has high flexibility The server encodes the original pathology images without loss Based on the image request from a client the server dynamically generates and sends out the part of the image at the requested scale and quality requirement The algorithm is expandable for medical image databases such as PACS
dcterms.contributorWang, J Z
dcterms.contributorNguyen, J
dcterms.contributorLo, K K
dcterms.contributorLaw, C
dcterms.contributorRegula, D
dcterms.identifierhttp://dx.doi.org/Not available
dcterms.relationProceedings / AMIA ... Annual Symposium. AMIA Symposium
dcterms.titleMultiresolution browsing of pathology images using wavelets.en


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  • mhealth Evidence [18106]
    mHealth Evidence was launched in 2012 to bring together the world’s literature on “mHealth” (broadly speaking, the application of mobile technologies to health service delivery).

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