A survey on image segmentation using metaheuristic-based deformable models: state of the art and critical analysis
Deformable models are segmentation techniques that adapt a curve with the goal of
maximizing its overlap with the actual contour of an object of interest within an image. Such …
maximizing its overlap with the actual contour of an object of interest within an image. Such …
Automated approaches for ROIs extraction in medical thermography: a review and future directions
J Singh, AS Arora - Multimedia Tools and Applications, 2020 - Springer
Historically, the skin temperature has been used as a functional indicator of the processes
undergoing inside the body, where the anomalous change in temperature gives indication of …
undergoing inside the body, where the anomalous change in temperature gives indication of …
CNL-UNet: A novel lightweight deep learning architecture for multimodal biomedical image segmentation with false output suppression
Automatic biomedical image segmentation plays an important role in speeding up disease
detection and diagnosis. The rapid development of Deep Learning has shown ground …
detection and diagnosis. The rapid development of Deep Learning has shown ground …
Medical image segmentation using genetic algorithms
U Maulik - IEEE Transactions on information technology in …, 2009 - ieeexplore.ieee.org
Genetic algorithms (GAs) have been found to be effective in the domain of medical image
segmentation, since the problem can often be mapped to one of search in a complex and …
segmentation, since the problem can often be mapped to one of search in a complex and …
Image segmentation based on genetic algorithm for region growth and region merging
Medical image segmentation is the most important process to assist in the visualization of
the structure of importance in medical images. Malignant melanoma is the most frequent …
the structure of importance in medical images. Malignant melanoma is the most frequent …
Automatic segmentation of bladder and prostate using coupled 3D deformable models
MJ Costa, H Delingette, S Novellas… - Medical Image Computing …, 2007 - Springer
In this paper, we propose a fully automatic method for the coupled 3D localization and
segmentation of lower abdomen structures. We apply it to the joint segmentation of the …
segmentation of lower abdomen structures. We apply it to the joint segmentation of the …
Segmenting the prostate and rectum in CT imagery using anatomical constraints
S Chen, DM Lovelock, RJ Radke - Medical image analysis, 2011 - Elsevier
The automatic segmentation of the prostate and rectum from 3D computed tomography (CT)
images is still a challenging problem, and is critical for image-guided therapy applications …
images is still a challenging problem, and is critical for image-guided therapy applications …
Swarm intelligence based clustering technique for automated lesion detection and diagnosis of psoriasis
Background In psoriasis skin disease, psoriatic cells develop rapidly than the normal healthy
cells. This speedy growth causes accumulation of dead skin cells on the skin's surface …
cells. This speedy growth causes accumulation of dead skin cells on the skin's surface …
RETRACTED ARTICLE: Efficient segmentation of the lung carcinoma by adaptive fuzzy–GLCM (AF-GLCM) with deep learning based classification
MM Yamunadevi, SS Ranjani - Journal of Ambient Intelligence and …, 2021 - Springer
Image processing is an innovative method to convert the real image into a sharp digital
image by applying various functions upon it. However, it is a difficult task for physicians in …
image by applying various functions upon it. However, it is a difficult task for physicians in …
Sparse patch-based label propagation for accurate prostate localization in CT images
In this paper, we propose a new prostate computed tomography (CT) segmentation method
for image guided radiation therapy. The main contributions of our method lie in the following …
for image guided radiation therapy. The main contributions of our method lie in the following …