Breast tumor segmentation and shape classification in mammograms using generative adversarial and convolutional neural network

VK Singh, HA Rashwan, S Romani, F Akram… - Expert Systems with …, 2020 - Elsevier
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 …

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 …

Active contours driven by local and global fitted image models for image segmentation robust to intensity inhomogeneity

F Akram, MA Garcia, D Puig - PloS one, 2017 - journals.plos.org
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 …

Multi-feature fusion CNNs for Drosophila embryo of interest detection

Q Xu, Z Wang, F Wang, Y Gong - Physica A: Statistical Mechanics and its …, 2019 - Elsevier
In gene expression, high-resolution Drosophila embryonic images contain abundant
temporal and spatial information. The Drosophila embryo of interest detection, with high …

Self-initialized active contours for microscopic cell image segmentation

A Niaz, E Iqbal, F Akram, J Kim, KN Choi - Scientific reports, 2022 - nature.com
Level set models are suitable for processing topological changes in different regions of
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 …

Modified region based segmentation of medical images

R Kashyap, P Gautam - 2015 International Conference on …, 2015 - ieeexplore.ieee.org
Health care applications became boon for the healthcare industry. It needs correct
segmentation connected with medical images regarding correct diagnosis. This assures …

Active contours driven by difference of Gaussians

F Akram, MA Garcia, D Puig - Scientific reports, 2017 - nature.com
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 …

Active contours using additive local and global intensity fitting models for intensity inhomogeneous image segmentation

S Soomro, F Akram, JH Kim… - … methods in medicine, 2016 - Wiley Online Library
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 …

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 …