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A study on RGB image multi-thresholding using Kapur/Tsallis entropy and moth-flame algorithm
(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 segmentation of leukocyte from hematological images—a study using various CNN schemes
(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 ...
Automated detection of age-related macular degeneration using a pre-trained deep-learning scheme
(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 ...
ResNet18 Supported Inspection of Tuberculosis in Chest Radiographs With Integrated Deep, LBP, and DWT Features
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2023-06)
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 ...