Segmentation and Estimation of the Histological Composition of the Tumor Mass in Computed Tomographic Images of Neuroblastoma
The problem that we investigate in the present paper Is the improvement of the analysis of the primary tumor mass, in patients with advanced neuroblastoma, using X-ray computed tomography (CT) exams. To achieve this goal, we propose a methodology for the estimation of the histological content of the...
Gespeichert in:
| Hauptverfasser: | , , , , |
|---|---|
| Format: | Report |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | |
| container_start_page | |
| container_title | |
| container_volume | |
| creator | Ayres, Fabio J Zuffo, Marcelo K Rangayyan, Rangaraj M Filho, Vicente O Valente, Marcelo |
| description | The problem that we investigate in the present paper Is the improvement of the analysis of the primary tumor mass, in patients with advanced neuroblastoma, using X-ray computed tomography (CT) exams. To achieve this goal, we propose a methodology for the estimation of the histological content of the mass that comprises a technique for semi-automatic segmentation of the primary tumor mass in CT images of neuroblastoma and a statistical method to estimate, from segmented CT images, the histological composition of the primary tumor. The results of the method are compared with the results of histological analysis of surgically resected tumor mass. Keyww%Is - Image segmentation, computed tomography, feature extraction, neuroblastoma
Papers from the 23rd Annual International conference of the IEEE Engineering in Medicine and Biology Society, October 25-28, 2001, held in Istanbul, Turkey. See also ADM001351 for entire conference on cd-rom., The original document contains color images. |
| format | Report |
| fullrecord | <record><control><sourceid>dtic_1RU</sourceid><recordid>TN_cdi_dtic_stinet_ADA409694</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>ADA409694</sourcerecordid><originalsourceid>FETCH-dtic_stinet_ADA4096943</originalsourceid><addsrcrecordid>eNqFjr0OgkAQhGksjPoGFvsCJiYSE0oCGCy0kZ6ssByb3N0Sbil9d_GnsLOaTL6ZySyjx42MI6-oLB7Qt1AEZfex0oH2BCUHFSuGG7SQiRsk8C-vJicjXDAEYP8OTEotVOLEjDj03MDZoaHwKlxpGuVucZ50uI4WHdpAm6-uou2pqLJy1yo39XzEk9Zpnsb75JjEhz_4CXDdRUc</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>report</recordtype></control><display><type>report</type><title>Segmentation and Estimation of the Histological Composition of the Tumor Mass in Computed Tomographic Images of Neuroblastoma</title><source>DTIC Technical Reports</source><creator>Ayres, Fabio J ; Zuffo, Marcelo K ; Rangayyan, Rangaraj M ; Filho, Vicente O ; Valente, Marcelo</creator><creatorcontrib>Ayres, Fabio J ; Zuffo, Marcelo K ; Rangayyan, Rangaraj M ; Filho, Vicente O ; Valente, Marcelo ; CALGARY UNIV (ALBERTA)</creatorcontrib><description>The problem that we investigate in the present paper Is the improvement of the analysis of the primary tumor mass, in patients with advanced neuroblastoma, using X-ray computed tomography (CT) exams. To achieve this goal, we propose a methodology for the estimation of the histological content of the mass that comprises a technique for semi-automatic segmentation of the primary tumor mass in CT images of neuroblastoma and a statistical method to estimate, from segmented CT images, the histological composition of the primary tumor. The results of the method are compared with the results of histological analysis of surgically resected tumor mass. Keyww%Is - Image segmentation, computed tomography, feature extraction, neuroblastoma
Papers from the 23rd Annual International conference of the IEEE Engineering in Medicine and Biology Society, October 25-28, 2001, held in Istanbul, Turkey. See also ADM001351 for entire conference on cd-rom., The original document contains color images.</description><language>eng</language><subject>BRAZIL ; CANADA ; COMPUTER APPLICATIONS ; COMPUTERIZED TOMOGRAPHY ; Cybernetics ; ESTIMATES ; FEATURE EXTRACTION ; FOREIGN REPORTS ; HISTOLOGY ; IMAGE PROCESSING ; MASS ; Medicine and Medical Research ; NEOPLASMS ; NEUROBLASTOMA ; SEGMENTED ; SEMIAUTOMATIC ; STATISTICAL PROCESSES ; X RAYS</subject><creationdate>2001</creationdate><rights>APPROVED FOR PUBLIC RELEASE</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,776,881,27546,27547</link.rule.ids><linktorsrc>$$Uhttps://apps.dtic.mil/sti/citations/ADA409694$$EView_record_in_DTIC$$FView_record_in_$$GDTIC$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Ayres, Fabio J</creatorcontrib><creatorcontrib>Zuffo, Marcelo K</creatorcontrib><creatorcontrib>Rangayyan, Rangaraj M</creatorcontrib><creatorcontrib>Filho, Vicente O</creatorcontrib><creatorcontrib>Valente, Marcelo</creatorcontrib><creatorcontrib>CALGARY UNIV (ALBERTA)</creatorcontrib><title>Segmentation and Estimation of the Histological Composition of the Tumor Mass in Computed Tomographic Images of Neuroblastoma</title><description>The problem that we investigate in the present paper Is the improvement of the analysis of the primary tumor mass, in patients with advanced neuroblastoma, using X-ray computed tomography (CT) exams. To achieve this goal, we propose a methodology for the estimation of the histological content of the mass that comprises a technique for semi-automatic segmentation of the primary tumor mass in CT images of neuroblastoma and a statistical method to estimate, from segmented CT images, the histological composition of the primary tumor. The results of the method are compared with the results of histological analysis of surgically resected tumor mass. Keyww%Is - Image segmentation, computed tomography, feature extraction, neuroblastoma
Papers from the 23rd Annual International conference of the IEEE Engineering in Medicine and Biology Society, October 25-28, 2001, held in Istanbul, Turkey. See also ADM001351 for entire conference on cd-rom., The original document contains color images.</description><subject>BRAZIL</subject><subject>CANADA</subject><subject>COMPUTER APPLICATIONS</subject><subject>COMPUTERIZED TOMOGRAPHY</subject><subject>Cybernetics</subject><subject>ESTIMATES</subject><subject>FEATURE EXTRACTION</subject><subject>FOREIGN REPORTS</subject><subject>HISTOLOGY</subject><subject>IMAGE PROCESSING</subject><subject>MASS</subject><subject>Medicine and Medical Research</subject><subject>NEOPLASMS</subject><subject>NEUROBLASTOMA</subject><subject>SEGMENTED</subject><subject>SEMIAUTOMATIC</subject><subject>STATISTICAL PROCESSES</subject><subject>X RAYS</subject><fulltext>true</fulltext><rsrctype>report</rsrctype><creationdate>2001</creationdate><recordtype>report</recordtype><sourceid>1RU</sourceid><recordid>eNqFjr0OgkAQhGksjPoGFvsCJiYSE0oCGCy0kZ6ssByb3N0Sbil9d_GnsLOaTL6ZySyjx42MI6-oLB7Qt1AEZfex0oH2BCUHFSuGG7SQiRsk8C-vJicjXDAEYP8OTEotVOLEjDj03MDZoaHwKlxpGuVucZ50uI4WHdpAm6-uou2pqLJy1yo39XzEk9Zpnsb75JjEhz_4CXDdRUc</recordid><startdate>20011025</startdate><enddate>20011025</enddate><creator>Ayres, Fabio J</creator><creator>Zuffo, Marcelo K</creator><creator>Rangayyan, Rangaraj M</creator><creator>Filho, Vicente O</creator><creator>Valente, Marcelo</creator><scope>1RU</scope><scope>BHM</scope></search><sort><creationdate>20011025</creationdate><title>Segmentation and Estimation of the Histological Composition of the Tumor Mass in Computed Tomographic Images of Neuroblastoma</title><author>Ayres, Fabio J ; Zuffo, Marcelo K ; Rangayyan, Rangaraj M ; Filho, Vicente O ; Valente, Marcelo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-dtic_stinet_ADA4096943</frbrgroupid><rsrctype>reports</rsrctype><prefilter>reports</prefilter><language>eng</language><creationdate>2001</creationdate><topic>BRAZIL</topic><topic>CANADA</topic><topic>COMPUTER APPLICATIONS</topic><topic>COMPUTERIZED TOMOGRAPHY</topic><topic>Cybernetics</topic><topic>ESTIMATES</topic><topic>FEATURE EXTRACTION</topic><topic>FOREIGN REPORTS</topic><topic>HISTOLOGY</topic><topic>IMAGE PROCESSING</topic><topic>MASS</topic><topic>Medicine and Medical Research</topic><topic>NEOPLASMS</topic><topic>NEUROBLASTOMA</topic><topic>SEGMENTED</topic><topic>SEMIAUTOMATIC</topic><topic>STATISTICAL PROCESSES</topic><topic>X RAYS</topic><toplevel>online_resources</toplevel><creatorcontrib>Ayres, Fabio J</creatorcontrib><creatorcontrib>Zuffo, Marcelo K</creatorcontrib><creatorcontrib>Rangayyan, Rangaraj M</creatorcontrib><creatorcontrib>Filho, Vicente O</creatorcontrib><creatorcontrib>Valente, Marcelo</creatorcontrib><creatorcontrib>CALGARY UNIV (ALBERTA)</creatorcontrib><collection>DTIC Technical Reports</collection><collection>DTIC STINET</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ayres, Fabio J</au><au>Zuffo, Marcelo K</au><au>Rangayyan, Rangaraj M</au><au>Filho, Vicente O</au><au>Valente, Marcelo</au><aucorp>CALGARY UNIV (ALBERTA)</aucorp><format>book</format><genre>unknown</genre><ristype>RPRT</ristype><btitle>Segmentation and Estimation of the Histological Composition of the Tumor Mass in Computed Tomographic Images of Neuroblastoma</btitle><date>2001-10-25</date><risdate>2001</risdate><abstract>The problem that we investigate in the present paper Is the improvement of the analysis of the primary tumor mass, in patients with advanced neuroblastoma, using X-ray computed tomography (CT) exams. To achieve this goal, we propose a methodology for the estimation of the histological content of the mass that comprises a technique for semi-automatic segmentation of the primary tumor mass in CT images of neuroblastoma and a statistical method to estimate, from segmented CT images, the histological composition of the primary tumor. The results of the method are compared with the results of histological analysis of surgically resected tumor mass. Keyww%Is - Image segmentation, computed tomography, feature extraction, neuroblastoma
Papers from the 23rd Annual International conference of the IEEE Engineering in Medicine and Biology Society, October 25-28, 2001, held in Istanbul, Turkey. See also ADM001351 for entire conference on cd-rom., The original document contains color images.</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | eng |
| recordid | cdi_dtic_stinet_ADA409694 |
| source | DTIC Technical Reports |
| subjects | BRAZIL CANADA COMPUTER APPLICATIONS COMPUTERIZED TOMOGRAPHY Cybernetics ESTIMATES FEATURE EXTRACTION FOREIGN REPORTS HISTOLOGY IMAGE PROCESSING MASS Medicine and Medical Research NEOPLASMS NEUROBLASTOMA SEGMENTED SEMIAUTOMATIC STATISTICAL PROCESSES X RAYS |
| title | Segmentation and Estimation of the Histological Composition of the Tumor Mass in Computed Tomographic Images of Neuroblastoma |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-21T11%3A05%3A47IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-dtic_1RU&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=unknown&rft.btitle=Segmentation%20and%20Estimation%20of%20the%20Histological%20Composition%20of%20the%20Tumor%20Mass%20in%20Computed%20Tomographic%20Images%20of%20Neuroblastoma&rft.au=Ayres,%20Fabio%20J&rft.aucorp=CALGARY%20UNIV%20(ALBERTA)&rft.date=2001-10-25&rft_id=info:doi/&rft_dat=%3Cdtic_1RU%3EADA409694%3C/dtic_1RU%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |