Neutrosophic segmentation of breast lesions for dedicated breast computed tomography
Author:
Affiliation:
1. University of Pittsburgh, Department of Radiology, Pittsburgh, Pennsylvania
2. University of Chicago, Department of Radiology, Chicago, Illinois
3. University of California Davis Medical Center, Department of Radiology, Sacramento, California
Publisher
SPIE-Intl Soc Optical Eng
Subject
Radiology Nuclear Medicine and imaging
Reference34 articles.
1. Efficient iterative image reconstruction algorithm for dedicated breast CT
2. Image reconstruction in circular cone-beam computed tomography by constrained, total-variation minimization
3. A neutrosophic approach to image segmentation based on watershed method
4. New neutrosophic approach to image segmentation
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1. Corrections to “Toward an Optimized Neutrosophic k-Means With Genetic Algorithm for Automatic Vehicle License Plate Recognition (ONKM-AVLPR)”;IEEE Access;2021
2. Challenges and future directions in neutrosophic set-based medical image analysis;Neutrosophic Set in Medical Image Analysis;2019
3. A survey on neutrosophic medical image segmentation;Neutrosophic Set in Medical Image Analysis;2019
4. Relationship between computer segmentation performance and computer classification performance in breast CT: A simulation study using RGI segmentation and LDA classification;Medical Physics;2018-07-06
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