Background and activities
Scientific, academic and artistic work
- (2021) Three-stage segmentation of lung region from CT images using deep neural networks. BMC Medical Imaging. vol. 21 (112).
- (2019) Local Indicators of Spatial Autocorrelation (LISA): Application to Blind Noise-Based Perceptual Quality Metric Index for Magnetic Resonance Images. Journal of Imaging. vol. 5 (1).
- (2019) Plant leaves region segmentation in cluttered and occluded images using perceptual color space and k-means-derived threshold with set theory. IEEE Conference on Industrial Informatics. vol. 2019-July.
Part of book/report
- (2021) Simultaneous Artefact-Lesion Extraction for Skin Cancer Diagnosis. Proceeding of the 3rd International Conference on Intelligent Technologies and Applications (INTAP).
- (2020) Online Variational Learning for Medical Image Data Clustering. Mixture Models and Applications.
- (2020) Evaluation of color spaces for unsupervised and deep learning skin lesion segmentation. Proceedings of the IADIS International Conference Computer Graphics, Visualization, Computer Vision and Image Processing.
- (2020) Learning-based segmentation of optic disc in retinal images using clustering trees and local mode filtering. Proceedings of the IADIS International Conference Computer Graphics, Visualization, Computer Vision and Image Processing.