Abstract: Medical imaging systems, especially those employing fine X-ray mechanisms, are vital for generating ultrasound images used in disease screening and diagnosis; however, these images often ...

Abstract: Dyslexia, a complex neurodevelopmental disorder, poses formidable challenges to individuals in acquiring proficient reading skills despite adequate instruction and cognitive abilities, with ...

Abstract: Developing a fish species classification model using a Convolutional Neural Network (CNN) requires a diverse and abundant training dataset. In addition, the quality of the images in the ...

Abstract: Malware classification m ethods a re o ften costly, requiring constant retraining and large amounts of computing power in order to support large models that analyze software in numerous ways ...

Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, India Introduction: Colorectal cancer (CRC) remains one of the leading causes of cancer-related deaths ...

Abstract: Brain tumors are difficult to diagnose and can be fatal; thus, accurate and effective methods are badly needed. To overcome several difficulties in this sector, novel methods for brain tumor ...

Abstract: If diabetic retinopathy is not identified and treated right away, it is a dangerous side effect of diabetes that will cause blindness. In this work, we investigate novel deep learning (DL) ...

Abstract: Convolutional neural networks (CNNs) and transformers have made remarkable achievements in hyperspectral image classification (HSIC). Unfortunately, CNN-based methods struggle to capture the ...

College of Information Science and Technology, Gansu Agricultural University, Lanzhou, China Introduction: Accurate identification of maize seed varieties is essential for enhancing crop yield and ...

Abstract: The Brain is the controller of the Human system. The unusual growth and partitioning of brain cells lead to a brain tumor which is a severe disease, it’s further growth leads to Brain Cancer ...