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Breast tumor segmentation and shape classification in mammograms using generative adversarial and convolutional neural network
Mammogram inspection in search of breast tumors is a tough assignment that radiologists
must carry out frequently. Therefore, image analysis methods are needed for the detection …
must carry out frequently. Therefore, image analysis methods are needed for the detection …
A review on biomedical image analysis
S Renukalatha, KV Suresh - Biomedical Engineering: Applications …, 2018 - World Scientific
Bio-medical image analysis is an interdisciplinary field which includes: biology, physics,
medicine and engineering. It deals with application of image processing techniques to …
medicine and engineering. It deals with application of image processing techniques to …
Active contours driven by local and global fitted image models for image segmentation robust to intensity inhomogeneity
This paper presents a region-based active contour method for the segmentation of intensity
inhomogeneous images using an energy functional based on local and global fitted images …
inhomogeneous images using an energy functional based on local and global fitted images …
Multi-feature fusion CNNs for Drosophila embryo of interest detection
In gene expression, high-resolution Drosophila embryonic images contain abundant
temporal and spatial information. The Drosophila embryo of interest detection, with high …
temporal and spatial information. The Drosophila embryo of interest detection, with high …
Self-initialized active contours for microscopic cell image segmentation
Level set models are suitable for processing topological changes in different regions of
images while performing segmentation. Active contour models require an empirical setting …
images while performing segmentation. Active contour models require an empirical setting …
Edge detection for pattern recognition: a survey
AP James - International Journal of Applied Pattern …, 2016 - inderscienceonline.com
This review provides an overview of the literature on the edge detection methods for pattern
recognition that inspire from the understanding of human vision. We note that edge detection …
recognition that inspire from the understanding of human vision. We note that edge detection …
Modified region based segmentation of medical images
Health care applications became boon for the healthcare industry. It needs correct
segmentation connected with medical images regarding correct diagnosis. This assures …
segmentation connected with medical images regarding correct diagnosis. This assures …
Active contours driven by difference of Gaussians
In this paper, a novel edge-based active contour method is proposed based on the
difference of Gaussians (DoG) to segment intensity inhomogeneous images. DoG is known …
difference of Gaussians (DoG) to segment intensity inhomogeneous images. DoG is known …
Active contours using additive local and global intensity fitting models for intensity inhomogeneous image segmentation
This paper introduces an improved region based active contour method with a level set
formulation. The proposed energy functional integrates both local and global intensity fitting …
formulation. The proposed energy functional integrates both local and global intensity fitting …
A smart study on medicinal plants identification and classification using image processing techniques
B Pukhrambam, R Rathna - 2021 Third International …, 2021 - ieeexplore.ieee.org
Plants play an important role in human life for providing oxygen, food, housing, medicine,
energy, housing, and environmental protection. Plants are rich in medicinal esteem and …
energy, housing, and environmental protection. Plants are rich in medicinal esteem and …