International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 115 - Issue 19 |
Published: April 2015 |
Authors: Shweta Bhanushali, Sonia Lad, Vaibhavi Haria, Poonam Bhogale |
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Shweta Bhanushali, Sonia Lad, Vaibhavi Haria, Poonam Bhogale . Computer-Aided Breast Tumor Segmentation. International Journal of Computer Applications. 115, 19 (April 2015), 33-36. DOI=10.5120/20261-2656
@article{ 10.5120/20261-2656, author = { Shweta Bhanushali,Sonia Lad,Vaibhavi Haria,Poonam Bhogale }, title = { Computer-Aided Breast Tumor Segmentation }, journal = { International Journal of Computer Applications }, year = { 2015 }, volume = { 115 }, number = { 19 }, pages = { 33-36 }, doi = { 10.5120/20261-2656 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2015 %A Shweta Bhanushali %A Sonia Lad %A Vaibhavi Haria %A Poonam Bhogale %T Computer-Aided Breast Tumor Segmentation%T %J International Journal of Computer Applications %V 115 %N 19 %P 33-36 %R 10.5120/20261-2656 %I Foundation of Computer Science (FCS), NY, USA
Breast cancer is one of the most prevalent cancers diagnosed among the middle aged women. The rate of curacy depends on how well and early the tumor has been detected. One of the most effective methods of breast tumor segmentation is by using x-ray mammography. The accuracy of the results varies with the experience of the radiologists and the quality of the mammograms. In order to overcome these drawbacks a computer aided system has been developed that can accurately identify, position and segment the tumor.