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Listar RESULTADOS DE INVESTIGACIÓN por autor "Rajinikanth, Venkatesan"
Mostrando ítems 1-8 de 8
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A study on RGB image multi-thresholding using Kapur/Tsallis entropy and moth-flame algorithm
Rajinikanth, Venkatesan; Kadry, Seifedine; González-Crespo, Rubén ; Verdú, Elena (Universidad Internacional de la Rioja, 2021)In the literature, a considerable number of image processing and evaluation procedures are proposed and implemented in various domains due to their practical importance. Thresholding is one of the pre-processing techniques, ... -
Automated detection of age-related macular degeneration using a pre-trained deep-learning scheme
Kadry, Seifedine; Rajinikanth, Venkatesan; González-Crespo, Rubén; Verdú, Elena (Springer, 2022)An eye disease affects the entire sensory operation, and an unrecognised and untreated eye disease may lead to loss of vision. The proposed work aims to develop an automated age-related macular degeneration (AMD) detection ... -
Automated segmentation of leukocyte from hematological images—a study using various CNN schemes
Kadry, Seifedine; Rajinikanth, Venkatesan; Taniar, David; Damaševičius, Roberta; Blanco Valencia, Xiomara Patricia (Springer, 2022)Medical images play a fundamental role in disease screening, and automated evaluation of these images is widely preferred in hospitals. Recently, Convolutional Neural Network (CNN) supported medical data assessment is ... -
Automatic classification of normal/AD brain MRI slices using whale-algorithm optimized hybrid image features
Kadry, Seifedine; Jessy, V. Elizabeth; Rajinikanth, Venkatesan; González-Crespo, Rubén (Journal of Ambient Intelligence and Humanized Computing, 2023)In recent years, the prevalence of Age-Related Illnesses (ARL) has been increasing among older individuals, and early recognition and treatment will result in better living conditions. It is well known that Alzheimer's ... -
Automatic detection of lung nodule in CT scan slices using CNN segmentation schemes: A study
Kadry, Seifedine; Herrera-Viedma, Enrique; González-Crespo, Rubén; Krishnamoorthy, Sujatha; Rajinikanth, Venkatesan (Procedia Computer Science, 2022)The lung is one of the prime respiratory organs in human physiology, and its abnormality will severely disrupt the respiratory system. Lung Nodule (LN) is one of the abnormalities, and early screening and treatment are ... -
Classification of Breast Thermal Images into Healthy/Cancer Group Using Pre-Trained Deep Learning Schemes
Kadry, Seifedine; González-Crespo, Rubén; Herrera-Viedma, Enrique; Krishnamoorthy, Sujatha; Rajinikanth, Venkatesan (Procedia Computer Science, 2022)In the women's community, Breast Cancer (BC) is a severe disease. The World Health Organization reported in 2020 that 2.26 million deaths occur due to BC. BC is curable if detected early. Since thermal imaging is non-invasive ... -
Deep and handcrafted feature supported diabetic retinopathy detection: A study
Kadry, Seifedine; González-Crespo, Rubén; Herrera-Viedma, Enrique; Krishnamoorthy, Sujatha; Rajinikanth, Venkatesan (Procedia Computer Science, 2022)The eye is the prime sensory organ in physiology, and the abnormality in the eye severely influences the vision system. Therefore, eye irregularity is commonly assessed using imaging schemes, and Fundus Retinal Image (FRI) ... -
ResNet18 Supported Inspection of Tuberculosis in Chest Radiographs With Integrated Deep, LBP, and DWT Features
Rajinikanth, Venkatesan; Kadry, Seifedine; Moreno-Ger, Pablo (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)The lung is a vital organ in human physiology and disease in lung causes various health issues. The acute disease in lung is a medical emergency and hence several methods are developed and implemented to detect the lung ...
