Enhancing level set brain tumor segmentation using fuzzy shape prior information and deep learning

A Khosravanian, M Rahmanimanesh… - … Journal of Imaging …, 2023 - Wiley Online Library
Magnetic resonance imaging (MRI) brain tumor segmentation is a crucial task for clinical
treatment. However, it is challenging owing to variations in type, size, and location of tumors …

Parametric active contour model-based tumor area segmentation from brain mri images using minimum initial points

MM Islam, MA Kashem - Iran Journal of Computer Science, 2021 - Springer
Accurate brain tumor segmentation from magnetic resonance imaging (MRI) images is
important for proper medication. Manual segmentation may be erroneous and a computer …

A fractional-order PDE-based contour detection model with CeNN scheme for medical images

M Lakra, S Kumar - Journal of Real-Time Image Processing, 2022 - Springer
This paper introduces a contour detection scheme to detect object contours in medical
images. A new PDE model is designed by including a fractional-order regularization term …

Boundary detection of echocardiographic images during mitral regurgitation

K Chauhan, RK Chauhan - … Advances in Computer Vision: Theories and …, 2019 - Springer
In case of significant Mitral Regurgitation (MR), left ventricle has to accommodate both the
stroke volume and the regurgitant volume with each heart beat so it leads to volume …

[PDF][PDF] Efficient Scale Invariant and Back Propagation Neural Network Method using LIP Region Segmentation

S Sharma, G Babbar, I Singla, G Jindal - academia.edu
With the advent of technological sensor devices and human interface machine technology,
there has been extensive research done in lip segmentation methods by several …

[引用][C] Fuzzy and Objectiveness Integrated Optimization of Extended Topological Active Net for Multi Object Segmentation

B Pramila, MB Meenavathi