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Automated Single and Multi-Breast Tumor Segmentation Using ..:

, In: Proceedings of the International Conference on Research in Adaptive and Convergent Systems,

Taheri, Mohammad ; Hamer, George ; Son, Seong Ho. - p. 61-66 , 2016

Link: https://dl.acm.org/doi/10.1145/2987386.2987421

RT 
T1 <cTitle>Proceedings of the International Conference on Research in Adaptive and Convergent Systems</cTitle>: T1 <Title>Automated Single and Multi-Breast Tumor Segmentation Using Improved Watershed Technique in 2D MRI Images</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-2987421&Exemplar=1&LAN=DE
				
A1 Taheri, Mohammad
A1 Hamer, George
A1 Son, Seong Ho
A1 Shin, Sung Y.
PB ACM
YR 2016
K1 Breast Tumor
K1 Gradient Magnitude
K1 MRI Images
K1 Multi-RIO Detection
K1 Pre-processing
K1 Segmentation
K1 Watershed
K1 Computing methodologies
K1 Artificial intelligence
K1 Computer vision
K1 Computer graphics
K1 Image manipulation
K1 Applied computing
K1 Life and medical sciences
K1 Health care information systems
K1 Computer vision tasks
K1 Computer vision problems
K1 Interest point and salient region detections
K1 Image segmentation
K1 Video segmentation
SP 61
OP 66
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2987386.2987421
DO https://dl.acm.org/doi/10.1145/2987386.2987421
SF ELIB - SuUB Bremen

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