Marker-Controlled Watershed for Lesion Segmentation in Mammograms
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Summary
The results confirm the potential of the proposed algorithm to allow reliable segmentation and quantification of breast lesion in mammograms and quantify the traditional watershed transformation to obtain the lesion boundary in the belt between the internal and external markers.
- Type
- article
- Published
- 2011-02-17
- Cited by
- 94
- References
- 30
- Access
- Open access
- OpenAlex
- https://openalex.org/W1973235766
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:6851171
Keywords
Hausdorff distance, Segmentation, Artificial intelligence, Thresholding, Computer science
References
- A dual-stage method for lesion segmentation on digital mammograms.
- Segmentation of DTI based on tensorial morphological gradient
- Automated Multidetector Row CT Dataset Segmentation with an Interactive Watershed Transform (IWT) Algorithm: Part 2—Body CT Angiographic and Orthopedic Applications
- Breast mass segmentation in mammography using plane fitting and dynamic programming.
- A new 2D segmentation method based on dynamic programming applied to computer aided detection in mammography.
- Computerized lesion segmentation of breast ultrasound based on marker-controlled watershed transformation.
- A comparison of two methods for the segmentation of masses in the digital mammograms
- Computer-aided mass detection in mammography: false positive reduction via gray-scale invariant ranklet texture features.
- Current status and future directions of computer-aided diagnosis in mammography
- Marker-controlled watershed for lymphoma segmentation in sequential CT images.
- A model based approach to object detection in digital mammography
- Segmentation of lung nodules in computed tomography images using dynamic programming and multidirection fusion techniques.
- Malignant lesion segmentation in contrast-enhanced breast MR images based on the marker-controlled watershed.
- Characterization of mammographic masses based on level set segmentation with new image features and patient information.
- Single and multiscale detection of masses in digital mammograms
- A Concentric Morphology Model for the Detection of Masses in Mammography
- Hierarchical Part-Template Matching for Human Detection and Segmentation
- Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations
- An improved graph cut segmentation method for cervical lymph nodes on sonograms and its relationship with node's shape assessment
- Screening mammograms: interpretation with computer-aided detection--prospective evaluation.
Cited by
- Automatic mass segmentation on mammograms combining random walks and active contour
- Dependence of Shape-Based Descriptors and Mass Segmentation Areas on Initial Contour Placement Using the Chan-Vese Method on Digital Mammograms
- Brain tumor extraction from MRI brain images using marker based watershed algorithm
- A Survey on the Analysis of Segmentation Techniques in Mammogram Images
- Semiautomatic segmentation of liver metastases on volumetric CT images.
- Computer-Aided Diagnosis of Malignant Mammograms using Zernike Moments and SVM
- Computational unfoldment of mammograms
- Computerised segmentation of suspicious lesions in the digital mammograms
- A Knowledge-Based Approach for Carpal Tunnel Segmentation from Magnetic Resonance Images
- Object-oriented segmentation for microscopy images of lung tissue
- Mass segmantation on mammograms using active contours
- Brain Tumor Segmentation Based on Structuring Element Map Modification and Marker-controlled Watershed Transform
- Towards automatic polyp detection with a polyp appearance model
- An automated method for breast mass segmentation
- Detection of Tumours in Digital Mammograms Using Wavelet Based Adaptive Windowing Method
- Morphological Multiscale Stationary Wavelet Transform based Texture Segmentation
- Detection of breast tumor candidates using marker-controlled watershed segmentation and morphological analysis
- An Improved Approach for Breast Cancer Detection in Mammogram based on Watershed Segmentation
- Development of a new algorithm for segmentation of flotation froth images
- Watershed segmentation based on gradient relief modification using variant structuring element
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