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dc.identifier.urihttp://hdl.handle.net/11401/72260
dc.identifier.urihttp://hdl.handle.net/1951/43121
dc.description.sponsorshipThis work is sponsored by the Stony Brook University Graduate School in compliance with the requirements for completion of degree.en_US
dc.formatMonograph
dc.format.mediumElectronic Resourceen_US
dc.language.isoen_US
dc.publisherThe Graduate School, Stony Brook University: Stony Brook, NY.
dc.typeThesis
dcterms.available2008-06-02T18:15:22Z
dcterms.available2015-04-24T14:51:17Z
dcterms.creatorZhou, Lili
dcterms.dateAccepted2008-06-02T18:15:22Z
dcterms.dateAccepted2015-04-24T14:51:17Z
dcterms.dateSubmitted2008-06-02T18:15:22Z
dcterms.dateSubmitted2015-04-24T14:51:17Z
dcterms.formatMonograph
dcterms.formatApplication/PDFen_US
dcterms.identifierhttp://hdl.handle.net/11401/72260
dcterms.identifierhttp://hdl.handle.net/1951/43121
dcterms.issued2007-05-01
dcterms.languageen_US
dcterms.provenanceSubmitted by Karen D'Angelo (kdangelo@notes.cc.sunysb.edu) on 2008-06-02T18:15:21Z No. of bitstreams: 1 000000022.sbu.pdf: 1425412 bytes, checksum: 481f07705ef1f83fda7d16f57af81dfc (MD5)en_US
dcterms.provenanceMade available in DSpace on 2008-06-02T18:15:22Z (GMT). No. of bitstreams: 1 000000022.sbu.pdf: 1425412 bytes, checksum: 481f07705ef1f83fda7d16f57af81dfc (MD5)en_US
dcterms.provenanceMade available in DSpace on 2011-01-12T15:03:41Z (GMT). No. of bitstreams: 3 000000022.sbu.pdf: 1425412 bytes, checksum: 481f07705ef1f83fda7d16f57af81dfc (MD5) license.txt: 1762 bytes, checksum: c169824033e694ab669f55234df1a37f (MD5) 000000022.sbu.pdf.txt: 254733 bytes, checksum: 65041089fa84f2414a67be1bafe63f49 (MD5) Previous issue date: 2007-05-01T00:00:00Zen
dcterms.provenanceMade available in DSpace on 2015-04-24T14:51:17Z (GMT). No. of bitstreams: 4 000000022.sbu.pdf.jpg: 1894 bytes, checksum: a6009c46e6ec8251b348085684cba80d (MD5) 000000022.sbu.pdf: 1425412 bytes, checksum: 481f07705ef1f83fda7d16f57af81dfc (MD5) license.txt: 1762 bytes, checksum: c169824033e694ab669f55234df1a37f (MD5) 000000022.sbu.pdf.txt: 254733 bytes, checksum: 65041089fa84f2414a67be1bafe63f49 (MD5) Previous issue date: 2007-05-01T00:00:00Zen
dcterms.publisherThe Graduate School, Stony Brook University: Stony Brook, NY.
dcterms.subjectlesion detection
dcterms.subjectbreast imgaing
dcterms.subjecttomosynthetic breast imaging
dcterms.subjectreconstruction algorithms
dcterms.titleLow-Contrast Lesion Detection in Tomosynthetic Breast Imaging
dcterms.typeThesis


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