Medical images have made a great impact on medicine, diagnosis, and treatment. The most important part of image processing is segmentation. Many segmentation methods for medical analysis been presented in this paper. In paper, we described the latest applied analysis. advantages disadvantages each method are besides examination algorithm with its application Magnetic Resonance Imaging Computed Tomography Each explained separately ability features grey-level images. order to evaluate results,...

Abstract The establishment of a secure communication between two communicating parties is becoming difficult problem due to the likelihood attacks and other unintentional changes during an active over unsecured network. However, security secret information can be secured using either cryptography or steganography. Steganography refers practice concealing message (with no traceability) in manner that it will make meaning anyone else except intended recipient, while cryptography, on hand, art...

Big data is the collection of large datasets from traditional and digital sources to identify trends patterns. The quantity variety computer are growing exponentially for many reasons. For example, retailers building vast databases customer sales activity. Organizations working on logistics financial services, public social media sharing a sentiments related price products. Challenges big include volume in both structured unstructured data. In this paper, we implemented several machine...

Retail companies recognize the need to analyze and predict their sales customer behavior against products product categories. Our study aims help retail create personalized deals promotions for customers, even during COVID-19 pandemic, through a big data framework that allows them handle massive volumes with more efficient models. In this paper, we used Black Friday taken from dataset on Kaggle website, which contains nearly 550,000 observations analyzed 10 features: qualitative...

Diabetic Retinopathy (DR) is a prevalent acute stage of diabetes mellitus that causes vision-effecting abnormalities on the retina. This will cause blindness if not identified early. Because DR an irreversible procedure, and only vision preserved via care. Consequently, Early diagnosis care with significantly minimize chance loss. In modern ophthalmology, retinal image analysis has become popular approach to disease diagnosis. The ophthalmologists computerized systems extensively employ...

Artificial intelligence has revolutionized medical diagnosis, particularly for cancers. Acute myeloid leukemia (AML) diagnosis is a tedious protocol that prone to human and machine errors. In several instances, it difficult make an accurate final decision even after careful examination by experienced pathologist. However, computer-aided (CAD) can help reduce the errors time associated with AML diagnosis. White Blood Cells (WBC) detection critical step in deep learning considered...

Recent advancements in artificial intelligence (AI) have led to numerous medical discoveries. The field of computer vision (CV) for diagnosis has received particular attention. Using images peripheral blood (PB) smears, CV been utilized hematology detect acute leukemia (AL). Significant research undertaken the area AL automation order deliver an accurate diagnosis. This study addresses morphological classification atypical white cells (WBCs), including immature WBCs and lymphocytes, myeloid...

Melanoma, the deadliest form of skin cancer, is on rise. The goal this study to present a deep learning system implementation for detection melanoma lesions server equipped with graphics processing unit (GPU). When applied by dermatologist, recommended method might aid in early kind cancer. Evidence shows that may be used variety settings successfully extract patterns from data such as signals and images. This research presents convolution neural network–based strategy identifying...

With a wide variety researches on Image segmentation techniques in biomedical and bioinformatics area, it is important to analyze the performance of these approaches specific problems. one most significant processes dental X-ray image analysis. Therefore, obtain proper result, required perform accurate efficient approach which proved itself aspect segmentation. The aim this review paper understand different have been used for analysis over past studies. In paper, available segmentation,...

Anterior cruciate ligament (ACL) tear is caused by partially or completely torn ACL in the knee, especially sportsmen. There a need to classify before it fully ruptures avoid osteoarthritis. This research aims identify tears automatically and efficiently with deep learning approach. A dataset was gathered, consisting of 917 knee magnetic resonance images (MRI) from Clinical Hospital Centre Rijeka, Croatia. The we used consists three classes: non-injured, partial tears, ruptured MRI. study...

The anterior cruciate ligament (ACL) is one of the main stabilizer parts knee. ACL injury leads to causes osteoarthritis risk. rupture common in young athletic population. Accurate segmentation at an early stage can improve analysis and classification ligaments tears. This study automatically segmented tears from magnetic resonance imaging through deep learning. knee mask was generated on original Magnetic Resonance (MR) images apply a semantic technique with convolutional neural network...

— Diabetic Retinopathy (DR) is a serious consequence of diabetes that seriously impact on the eyes and leading cause blindness. If lesions in DR arise central portion fundus, they may result significant vision loss, which we refer to as Macular Edema (DME). Deep learning (DL) techniques are commonly used utilized ophthalmology for discriminative tasks such diabetic retinopathy or age-related macular degeneration (AMD) diagnosis. typically need huge picture data sets deep convolutional neural...

Presently, the world is progressing towards notion of smart and secure cities. The automatic recognition human activity among essential landmarks city surveillance projects. Moreover, classifying group behavior detection complex indistinct. Consequently, classification systems reliant on visual data hold expansive utility across a spectrum domains, including but not limited to video surveillance, human-computer interaction, safety infrastructure However, poses significant challenge in...

The process of analysis such images is important in order to improve quantify medical imaging systems. It significant the dental x-ray we need features image. In this paper present a method for segmentation and feature extraction images. proposed has been implemented by using level-set after image enhancement illustrate contour teeth complete step. Furthermore, extracted multiple texture statistics techniques gray-level co-occurrence matrix. Extracted data can perform obtain measurements...