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130 results for “Medical Image”
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Research ArticleOpen accessIn the keywordsHybrid Attention-Based Stacked Bi-LSTM Model for Automated MultiImage CaptioningPaspula Ravinder, Saravanan SrinivasanIn recent days, the process of medical image captioning is become a prominent field. The distinct characteristics of medical imaging data provide a number of challenges when captioning medical images. Also, the variability in image modalities makes it difficult to generate an effective captioning process. Thus, the proposed study aims to design a novel Multi-image Captioning Hybrid Attention Model to … …Journal of Computer Science, Vol. 21, Issue 4 · 8 Mar 2025 · 5,171 accessesView PDFCite
Research ArticleOpen accessIn the keywordsExplainable MedAttn-ResNet50 for Automated Kidney Tumor Classification from CT Images With Grad-CAM VisualizationD. Vetrithangam, Pramod Kumar, Shilpasree S. et al.Kidney tumor classification from CT imaging remains challenging due to CT-specific intensity variations, tumor heterogeneity, and limited clinically meaningful interpretability in existing deep learning models. To address these limitations, we propose an Explainable MedAttn-ResNet50 framework that integrates radiology-driven preprocessing, multi-scale feature extraction, and medical attention mechanisms within a unified architecture. The preprocessing pipeline applies radiology-inspired intensity normalization, contrast enhancement, and … …Journal of Computer Science, Vol. 22, Issue 8 · 13 Aug 2026 · 1,127 accessesView PDFCite
Research ArticleOpen accessIn the keywordsHybrid Algorithm for Lossless Image Compression using Simple Selective Scan order with Bit Plane SlicingS. N. Sivanandam, A. Pasumpon PandianProblem statement: Identifying the new lossless image compression algorithm for high performance applications like medical and satellite imaging; a high quality lossless image is most important when reproduction which leads to classify the data for decision making. Approach: A new lossless hybrid algorithm based on simple selective scan order with Bit Plane Slicing method is presented for lossless Image compression … …Journal of Computer Science, Vol. 8, Issue 8 · 28 Jul 2012 · 7,486 accessesView PDFCite
Research ArticleOpen accessIn the keywordsExperiment of Tamper Detection and Recovery Watermarking in Picture Archiving and Communication SystemsSiau-Chuin Liew, Jasni Mohamad ZainProblem statement: Medical images such as x-rays, ultrasounds and Magnetic Resonance Imaging (MRI) plays an important role in helping the physicians to diagnose a disease or body conditions. These images can be tampered with existing image processing tools that is easily available. The usage of security measures such as watermarking can protect the integrity of the images. Numerous watermarking schemes … …Journal of Computer Science, Vol. 6, Issue 7 · 31 Jul 2010 · 7,658 accessesView PDFCite
Research ArticleOpen accessIn the keywordsImage-Based Alzheimer's Disease Detection Using Pretrained Convolutional Neural Network ModelsNasser AlsadhanAlzheimer's disease is an untreatable, progressive brain disorder that slowly robs people of their memory, thinking abilities, and ultimately their capacity to complete even the most basic tasks. Among older adults, it is the most frequent cause of dementia. Although there is presently no treatment for Alzheimer's disease, scientific trials are ongoing to discover drugs to combat the condition. Treatments … …Journal of Computer Science, Vol. 19, Issue 7 · 28 Jun 2023 · 5,918 accessesView PDFCite
Review ArticleOpen accessIn the keywordsMachine Learning Advancements for Lung Cancer Detection: An In-Depth Review and Future ProspectsAanchal Vij, Kuldeep Singh Kaswan, Anand NayyarLung cancer is a major cause of cancer-related mortality globally, underscoring the necessity for efficient diagnostic instruments. The review paper summarizes the role of ML and DL in detection, staging, and prognostication of lung cancer. We evaluate the relative efficacy of several models, such as CNNs, SVMs, and ensemble approaches, by analyzing publically accessible imaging and molecular information. We emphasize … …Journal of Computer Science, Vol. 22, Issue 1 · 1 Mar 2026 · 1,799 accessesView PDFCite
Research ArticleOpen accessIn the keywordsCOMPUTER AIDED SEGMENTATION OF BRAIN TISSUES USING SOFT COMPUTING TECHNIQUESD. Ramkumar, I. Jacob Raglend, K. BatriIn this study, an efficient computer aided classification of brain tissue in to Gray Matter (GM), White Matter (WM) and Cerebro-Spinal Fluid (CSF) is proposed. The proposed work consists of the following sub blocks like denosing, feature extraction and Classifier. This initial partition is performed by ANFIS after extracting the textural features like local binary pattern and histogram features. The … …American Journal of Applied Sciences, Vol. 11, Issue 6 · 17 Apr 2014 · 6,668 accessesView PDFCite
Research ArticleOpen accessIn the keywordsWarped Optical-Flow Inter-Frame Reconstruction for Ultrasound Image EnhancementBalza Achmad, Mohd Marzuki Mustafa, Aini HussainProblem statement: Optical flow inter-frame enhancement is one of the techniques to improve the quality of ultrasound images by reducing the speckle noise. The performance depends on accuracy of the optical flow inter-frame reconstruction which is a part of the technique. The speckle noise of an ultrasound image forms certain pattern, of which size of the speckle varies depends on … …Journal of Computer Science, Vol. 7, Issue 10 · 6 Aug 2011 · 7,215 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA UDDI Search Engine for SVG Federated Medical Imaging Web ServicesSabah Mohammed, Jinan Fiaidhi, Marshal HahnWith more and more medical web services appearing on the web, web service's discovery mechanism becomes essential. UDDI is an online registry standard to facilitate the discovery of business partners and services. However, most medical imaging applications exist within their own protected domain and were never designed to participate and operate with other applications across the web. However, private UDDI … …Journal of Computer Science, Vol. 2, Issue 4 · 30 Apr 2006 · 7,014 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA FAST AND ACCURATE METHOD FOR AUTOMATIC CORONARY ARTERIAL TREE EXTRACTION IN ANGIOGRAMSRohollah Moosavi Tayebi, Puteri Suhaiza Binti Sulaiman, Rahmita Wirza et al.Coronary arterial tree extraction in angiograms is an essential component of each cardiac image processing system. Once physicians decide to check up coronary arteries from x-ray angiograms, extraction must be done precisely, fast, automatically and including whole arterial tree to help diagnosis or treatment during the cardiac surgical operation. This application is very helpful for the surgeon on deciding the … …Journal of Computer Science, Vol. 10, Issue 10 · 27 Jun 2014 · 8,300 accessesView PDFCite