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Fuzzy C-Means Clustering with Histogram based Cluster Selection for Skin Lesion Segmentation using Non-Dermoscopic Images
Purpose – Pre-screening of skin lesion for malignancy is highly demanded as melanoma being a life-threatening skin cancer due to unpaired DNA damage. In this paper, lesion segmentation based on Fuzzy C-Means clustering ...
A meta-methodology for improving land cover and land use classification with SAR imagery
(2020-03-01)
Per-point classification is a traditional method for remote sensing data classification, and for radar data in particular. Compared with optical data, the discriminative power of radar data is quite limited, for most ...
Segmentation of Oral Epithelial Dysplasias Employing Mask R-CNN and Color Normalization
(2020-12-16)
Oral epithelial dysplasia is a common type of pre-cancerous lesion that can be categorized as mild, moderate and severe. The manual diagnosis of this type of lesion is a time consuming and complex task. The use of digital ...
Residual Neural Network precisely quantifies dysarthria severity-level based on short-duration speech segments
(2021-07-01)
Recently, we have witnessed Deep Learning methodologies gaining significant attention for severity-based classification of dysarthric speech. Detecting dysarthria, quantifying its severity, are of paramount importance in ...
Segmentation of Meristem Cells by an Automated Optimization Algorithm
(Applied Sciences, 2021)
Automatic Glaucoma Detection Based on Optic Disc Segmentation and Texture Feature Extraction
(Centro Latinoamericano de Estudios en Informática, 2016)
Future market segments for hybrid maize in East Africa
(CGIAR, 2023)