A review on medical image segmentation: techniques and its efficiency
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Summary
This study compares the techniques by analysing the performance of each algorithm on breast cancer modalities and aims to discover the technique that is most appropriate to be used for medical image segmentation.
- Type
- review
- Published
- 2017-01-01
- Cited by
- 1
- References
- 42
- OpenAlex
- https://openalex.org/W2975147349
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:204089123
Keywords
Image segmentation, Artificial intelligence, Scale-space segmentation, Segmentation, Segmentation-based object categorization
References
- Evaluation of atlas selection strategies for atlas-based image segmentation with application to confocal microscopy images of bee brains
- A Comparison of Image Segmentation Algorithms
- Mean Shift Segmentation - Evaluation of Optimization Techniques
- Improved PSO Based Multi-level Thresholding for Cancer Infected Breast Thermal Images Using Otsu
- A medical image segmentation algorithm based on bi-directional region growing
- A review on image segmentation techniques
- A Global/Local Affinity Graph for Image Segmentation
- Gradient vector flow with mean shift for skin lesion segmentation
- Optimal multilevel thresholding using bacterial foraging algorithm
- Efficient Graph-Based Image Segmentation
- An Adaptive K-means Clustering Algorithm for Breast Image Segmentation
- A novel Bayesian approach to adaptive mean shift segmentation of brain images
- An improved K-means clustering algorithm for fish image segmentation
- Semi-automatic Breast Ultrasound Image Segmentation Based on Mean Shift and Graph Cuts
- Measures of Similarity
- A robust graph-based segmentation method for breast tumors in ultrasound images.
- Generalized Overlap Measures for Evaluation and Validation in Medical Image Analysis
- Improving Clustering Algorithms for Image Segmentation using Contour and Region Information
- Normalized cuts and image segmentation
- Mean shift based gradient vector flow for image segmentation
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