Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Visual reconstruction
Constraints on deformable models: recovering 3D shape and nongrid motion
Artificial Intelligence
Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Journal of Computational Physics
Hands: a pattern theoretic study of biological shapes
Hands: a pattern theoretic study of biological shapes
On active contour models and balloons
CVGIP: Image Understanding
International Journal of Computer Vision
Shape Modeling with Front Propagation: A Level Set Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
Generalized gradient vector flow external forces for active contours
Signal Processing - Special issue on deformable models and techniques for image and signal processing
Finite-Element Methods for Active Contour Models and Balloons for 2-D and 3-D Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Finding Shortest Paths on Surfaces Using Level Sets Propagation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Robust Snake Implementation; A Dual Active Contour
IEEE Transactions on Pattern Analysis and Machine Intelligence
Boundary Extraction Approach Based on Multi-Resolution Methods and the T-Snakes Framework
SIBGRAPI '00 Proceedings of the 13th Brazilian Symposium on Computer Graphics and Image Processing
Segmentation of Brain Tissue from MR Images
CVRMed '95 Proceedings of the First International Conference on Computer Vision, Virtual Reality and Robotics in Medicine
Gradient Vector Flow: A New External Force for Snakes
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
A Geometric Approach to Segmentation and Analysis of 3D Medical Images
MMBIA '96 Proceedings of the 1996 Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA '96)
The Representation and Matching of Pictorial Structures
IEEE Transactions on Computers
Active contours with selective local or global segmentation: A new formulation and level set method
Image and Vision Computing
Distance regularized level set evolution and its application to image segmentation
IEEE Transactions on Image Processing
Snakes, shapes, and gradient vector flow
IEEE Transactions on Image Processing
Area and length minimizing flows for shape segmentation
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
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Medical imaging yields numerous contributions in modern, state-of-the-art cancer care. It plays a vital role in screening, detection, diagnosis, treatment, and follow-ups. Image segmentation is the pre-processing task for many computer assisted medical imaging applications. It automates or facilitates the demarcation of anatomical structures and other regions of interest in medical images. We illustrate herein a critical review of few such methods, which are very promising and vigorously researched methods for medical image segmentation. These methods are highly analytical and involve extensive computations, which make the solutions less intuitive for the practitioners and hard to compare their applicability. To find the applicability of such methods in the analysis of gynaecological malignancies, numerous experiments have been conducted on contrast enhanced computed tomography CECT images collected for gynaecological cancer patients. The results reveal the strengths and limitations of such methods in extracting the regions of interest for the analysis of gynaecological cancers.