Biomedical image segmentation: a survey
Y Alzahrani, B Boufama - SN Computer Science, 2021 - Springer
Abstract Medical Image Segmentation is the process of segmenting and detecting
boundaries of anatomical structures in various types of 2D and 3D-medical images. The …
boundaries of anatomical structures in various types of 2D and 3D-medical images. The …
Biomechanics of milk extraction during breast-feeding
How do infants extract milk during breast-feeding? We have resolved a century-long
scientific controversy, whether it is sucking of the milk by subatmospheric pressure or …
scientific controversy, whether it is sucking of the milk by subatmospheric pressure or …
3-D active meshes: fast discrete deformable models for cell tracking in 3-D time-lapse microscopy
Variational deformable models have proven over the past decades a high efficiency for
segmentation and tracking in 2-D sequences. Yet, their application to 3-D time-lapse images …
segmentation and tracking in 2-D sequences. Yet, their application to 3-D time-lapse images …
Automatic initialization of active contours and level set method in ultrasound images of breast abnormalities
We propose a novel initialization method designed for active contours (AC) and the level set
method (LSM), based on walking particles. The algorithm defines the seeds at converging …
method (LSM), based on walking particles. The algorithm defines the seeds at converging …
Nuclei segmentation of fluorescence microscopy images using three dimensional convolutional neural networks
Fluorescence microscopy enables one to visualize subcellular structures of living tissue or
cells in three dimensions. This is especially true for two-photon microscopy using near …
cells in three dimensions. This is especially true for two-photon microscopy using near …
An edge-region force guided active shape approach for automatic lung field detection in chest radiographs
Automatic and accurate lung field segmentation is an essential step for develo** an
automated computer-aided diagnosis system for chest radiographs. Although active shape …
automated computer-aided diagnosis system for chest radiographs. Although active shape …
General tube law for collapsible thin and thick-wall tubes
Modeling the complex deformations of cylindrical tubes under external pressure is of interest
in engineering and physiological applications. The highly non-linear post-buckling behavior …
in engineering and physiological applications. The highly non-linear post-buckling behavior …
Embedding vector field into image features to enhance classification
Classical methods, including sparse representation classification (SRC) and neural
networks (NNs), classify image object (s) using features like intensity, color, texture, and …
networks (NNs), classify image object (s) using features like intensity, color, texture, and …
Fast and fully automatic 3-d echocardiographic segmentation using b-spline explicit active surfaces: Feasibility study and validation in a clinical setting
D Barbosa, T Dietenbeck, B Heyde, H Houle… - Ultrasound in medicine …, 2013 - Elsevier
A novel framework to efficiently deal with three-dimensional (3-D) segmentation of
challenging inhomogeneous data in real-time has been recently introduced by the authors …
challenging inhomogeneous data in real-time has been recently introduced by the authors …
Particle method for segmentation of breast tumors in ultrasound images
We propose a new segmentation method based on multiple walking particles (WP)
bouncing from the image edges. The particles are able to segment objects characterized by …
bouncing from the image edges. The particles are able to segment objects characterized by …