land cover classification is one of the most important applications of polarimetric radar images, especially in urban areas. there are numerous features that can be extracted from these images for the use of their high potential, hence feature selection plays an important role in polsar image classification. in this study, three main steps are used to improve the classification: 1) feature extr...

Image classification is broadly used in almost all the fields. It can be medical, military, surveillance and many other In this paper, we carried out image for four classes of exercise poses. Out available methods classification, chose neural networks classification. The CNN ResNet50 algorithms were implemented results included paper. This applied various related fields like monitoring, posture...

The Classification of medical images and illustrations in the literature aims to label a medical image according to the modality it was produced or label an illustration according to its production attributes. It is an essential and challenging research hotspot in the area of automated literature review, retrieval and mining. The significant intra-class variation and inter-class similarity caus...

This paper describes the medical image retrieval and medical image annotation tasks of ImageCLEF 2007. Separate sections describe each of the two tasks, with the participation and an evaluation of major findings from the results of each given. A total of 13 groups participated in the medical retrieval task and 10 in the medical annotation task. The medical retrieval task added two new data sets...

Support Vector Machines (SVMs) are a relatively new supervised classification technique to the land cover mapping community.SVM are machine learning techniques that are used for segmentation and classification of medical pictures, as well as segmentation of white matter hyperintensities (WMH). Although there are various techniques implemented for the classification of image, here combinatorial ...

The tremendous growth in digital imagery has introduced the need for accurate image analysis and classification. The applications include content based image retrieval in the World Wide Web and digital libraries (Dong & Yang, 2002; Heidmann, 2005; Smeulders et al., 2000; Veltkamp et al., 2001) scene classification (Huang et al., 2005; Jiebo et al., 2005), face recognition (Jing & Zhang, 2006; P...

The coronavirus is a family of viruses that cause different dangerous diseases lead to death. Two types this virus have been previously found: SARS-CoV, which causes severe respiratory syndrome, and MERS-CoV, syndrome in the Middle East. latest coronavirus, originated Chinese city Wuhan, known as COVID-19 pandemic. It new kind can harm people was first discovered Dec. 2019. According statistics...

Medical image classification becomes a vital part of the design computer aided diagnosis (CAD) models. The conventional CAD models are majorly dependent upon shapes, colors, and/or textures that problem oriented and exhibited complementary in medical images. recently developed deep learning (DL) approaches pave an efficient method constructing dedicated for problems. But maximum resolution imag...