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15 articles for “Region Of Interest (ROI)”
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Research ArticleOpen accessIn the keywordsMedical Image Compression with Lossless Region of Interest Using Adaptive Active ContourR. Loganathan, Y. S. KumaraswamyProblem statement: With increasing bandwidth, digital medical image storage and transmission is a boon to patients and health professionals alike. Medical images are available instantly and avoid the need to carry the data physically. Popular imaging techniques extensively used in medicine include X-Ray, Magnetic Resonance Imaging (MRI), Ultrasound and Computed Tomography (CT). The images produced from the above techniques can … …Journal of Computer Science, Vol. 8, Issue 5 · 1 Mar 2012 · 7,723 accessesView PDFCite
Research ArticleOpen accessIn the keywordsImplementation of Computer Aided Diagnosis System Based on Parallel Approach of Ant Based Medical Image SegmentationJayabalan Jaya, Keppanagowder ThanushkodiProblem statement: The aim of this study is to develop Computer Aided Diagnosis (CAD) system for the detection of brain tumor by using parallel implementation of ACO system for medical image segmentation applications due to the rapid execution for obtaining and extracting the Region of Interest (ROI) from the images for diagnostic purposes in medical field. Approach: For ROI segmentation, … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 8,130 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMedical Image Compression Using Fuzzy C-Means Based Contourlet TransformM. Tamilarasi, V. PalanisamyProblem statement: To meet the demand for high speed transmission of image in efficient image storage and remote medical treatment, the efficient image compression is essential. The contourlet transform along with wavelet theory has great potential in medical image compression. Approach: The significant portion of the medical image applied with Fuzzy C-means based contourlet transform. DWT applied to the rest … …Journal of Computer Science, Vol. 7, Issue 9 · 25 Jul 2011 · 7,082 accessesView PDFCite
Research ArticleOpen accessIn the abstractImage Pre-Processing Techniques to Improve DBT Classification Accuracy With CNN ResNet-50Qodri Aziz, Slamet Riyadi et al.Digital Breast Tomosynthesis (DBT) is a three-dimensional imaging technology that is meant to determine breast cancer more accurately than regular mammograms. But low contrast and noise can make DBT images less clear, which can make deep learning-based classification less accurate. This study seeks to assess the impact of diverse preprocessing techniques on breast cancer classification outcomes utilizing the ResNet-50 Convolutional … …Journal of Computer Science, Vol. 22, Issue 10 · 21 Oct 2026 · 349 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Extract Region of Interest in High-Resolution Palmprint using 2D Image Histogram Entropy FunctionInass Shahadha Hussein, Shamsul Bin Sahibuddin, Md Jan Nordin, Nilam Nur AmirThe segmentation of high-resolution palmprint is has been challenged and the research in this filed is still limited because of variations in location and distortion of these images. To achieve superior recognition result, accurate segmentation of a region of interest is very crucial. Therefore, in this paper, a novel palmprint extraction method has been presented using a 2D image histogram … …Journal of Computer Science, Vol. 15, Issue 5 · 8 May 2019 · 7,652 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetection of a Moving Car Based on Invariant MomentsAbdul Monem Rahma, Nabaa Basil AbdThis paper presents a proposed technique based on Invariant Moments to detect moving cars in front of Autonomous Cars in order to increase safety and reduce road accidents, thus saving lives, which are one of the most important matters in the context of Autonomous Cars. Object detection from a sequence of images is preparatory step but a crucial mission for … …Journal of Computer Science, Vol. 14, Issue 3 · 20 Nov 2017 · 7,636 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassification of Breast Tumor in Mammogram Images Using Unsupervised Feature LearningAidarus M. Ibrahim, Baharum Baharudin, Abas Md Said, P. N. HashimahIn this study, we propose a learning-based approach using feature learning to minimize the manual effort required to extract features. Firstly, we extracted features from equally spaced sub-patches covering the input Region of Interest (ROI). The dimensionality of the extracted features is reduced using max-pooling. Furthermore, spherical k-means clustering coupled with max pooling (k-means-max pooling) is compared with well-known feature … …American Journal of Applied Sciences, Vol. 13, Issue 5 · 13 May 2016 · 7,497 accessesView PDFCite
Research ArticleOpen accessIn the abstractVehicle Detection in Aerial Traffic MonitoringDmitry Sincha, Mikhail Chervonenkis, Pavel SkribtsovThis work describes a cascade detection of vehicles in Unmanned Aerial Vehicle (UAV) images and videos. There are some new approaches used in the detection. In particular, the Region of Interest (ROI) search is not only based on GIS and navigation data, but also employs visual method based on rapid image segmentation and road detection. The work also suggests doing … …American Journal of Applied Sciences, Vol. 13, Issue 1 · 11 Jan 2016 · 7,925 accessesView PDFCite
Research ArticleOpen accessIn the abstractMeasurements of Mitral Annular Displacement in 2D Echocardiography ImagesFaten A. Dawood, Rahmita W. Rahmat, Suhaini B. Kadiman et al.Mitral Annular Displacement (MAD) in echocardiography has been described as a variation in mitral annulus position between the end-diastolic and the end-systolic in a complete cardiac cycle. It could be used as a rapid and reproducible method of determining the LV global systolic function and could be an easily detectable index for wall motion abnormalities. In this study, a computational … …American Journal of Applied Sciences, Vol. 12, Issue 5 · 4 Jul 2015 · 6,850 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Innovative Approach for Person Identification by Detection and Extraction of Optic Disc from Retina and Concha from EarC. Malathy, A. K. Sadiq, K. AnnapuraniPerson identification based on unimodal biometric system suffers from noise, intra class similarity, non universality, distinctiveness and spoof attacks. To alleviate the problem faced in unimodal biometric system biometric traits are combined in multimodal biometric system. In this study a new approach, to improve the recognition rate, reduces computational complexity and storage space is presented. Distinct method of person identification … …Journal of Computer Science, Vol. 11, Issue 1 · 22 Sep 2014 · 6,557 accessesView PDFCite