CT-scan images
Brain CT-Scan Images Classification Using PCA, Wavelet Transform and K-NN
... in CT-Scan exists or ...brain CT-Scan images; they can help in detection of abnormalities in human body at very initial stage which helps to save the previous human ...
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Semi-Automatic Image Segmentation for Volumetric Visualization of Pelvis CT Scan-Images
... obtained images represent several tissue structures on cross section slice being ...using CT images is extracting an anatomic structure of interest using a method of image segmentation and volumetric ...
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Interpreting Low Resolution CT Scan Images using Interpolation Functions
... (CT) scan medical images using interpolation ...these images in medical ...such images is very ...medical CT scan ...digital images, the best response was obtained ...
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A Simple Computational Approach for the Texture Analysis of CT Scan Images Using Orthogonal Moments
... many images. In order to detect the abnormality present in any CT scan images, the orthogonal moments show very good features representation particularly when combined with ROI based ...
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Evaluation of Age Related Changes in Cervical Spine in Saudi Arabian Adult Population: Using CT Scan Images
... using CT scan ...Their CT scans were performed in the department of radiology, King Khalid Hospital, Al Kharj and studied for any age related ...
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Porosity Estimation from High Resolution CT SCAN Images of Rock Samples by Using Housfield Unit
... The objective of this research was also to develop image processing techniques to determine rock properties using CT scan images. The porosity results by this technique were compared with results ...
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Renal Disease Prediction By Feature Extraction Techniques Using CT Scan Images
... Abstract - Renal disease is the very critical disease spreading nowadays in the wholeworld due to the change in our life style, including food habits, environment, etc.,. Kidney Disease is currently considered as the ...
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Review on “Computer-Aided Image Processing Techniques for Lung Tumor Detection Using CT scan Images.”
... the CT scanning technique as it can identify every suspected and unsuspected lung cancer nodules ...of CT scan images and anatomical structure misjudgment by doctors and radiologists it ...
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Segmentation of Liver Organ using Marker Watershed Transform Algorithm for CT Scan Images
... In this paper, Image Segmentation method is important step in any image processing method can be proceeded. The CT scan image has noise. Preprocessing is a step to clear the image noise before applying the ...
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Automatic Segmentation of Connected Thin Peripheral Vessels in Chest CT Scan Images
... Segmentation of Pulmonary vessel tree plays a pivotal role in the diagnosis of vascular diseases such as stenosis, hypertension, and pulmonary embolism. The vessel structure is also an important cue for registering ...
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Solitary Fibrous Tumor of the Pleura: Histology, CT Scan Images and Review of Literature over the Last Twenty Years.
... SFPT CT scan typically demonstrates homogeneous nodulations, well defined on the pleural ...With CT Scan is not possible differentiate a benign lesion from malignant one and even the ...
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Accuracy evaluation of CAD/CAM generated splints in orthognathic surgery: a cadaveric study
... operative CT scan ...the CT images for measurement calculation; d) the human errors that may potentially occur at every step of either the computer planning or the surgical procedure cannot be ...
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Reconstruction of 3d Model Based on CT Scan Image Information of Human Ridge Cone Bone
... This process can be repeated with the three-dimensional solid model of the complete human spinal cone bone, and the three-dimensional reconstruction of human vertebrae based on Ct scan images is ...
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An Improved Implementation for Brain Tumor Detection on CT scanImages
... CT scan is Computed Tomography, also known as computed axial tomography, or CAT scan, medical technology that uses X rays and computers to produce 3D images of the human ...bones, CT ...
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Quantification of Epicardial and Thoracic Adipose Tissue using WOA Optimized CNN
... Cardiac fat depots are associated with the heart diseases. Epicardial fat and thoracic fat plays the major role in the development of cardiovascular disease. The increased thickness of the epicardial and thoracic fat ...
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A STUDY ON AUTOMATIC SEGMENTATION OF LIVER REGION FOR TUMOR DETECTION AND GRADING OF TUMOR USING TUMOR BURDEN PARAMETER
... abdominal/liver CT scan images using region growing ...the CT scan ...from CT image by performing thresholding ...in images for all the segmentation methods ...
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A Deep Transfer Learning Model with Classical Data Augmentation and CGAN to Detect COVID-19 from Chest CT Radiography Digital Images
... chest CT scan digital images. To input adopting CT images of the chest to the DCNN, we enriched the medical chest CT images using classical data augmentation and CGAN to ...
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Case Report Coexistent sarcoidosis and tuberculous pleuritis: a case report
... Tuberculous pleuritis, belong- ing to a kind of tuberculosis, may coexist with sarcoidosis as well in theory. Although such cases are rare in prac- tice, the reason for pleuritis caused by either mycobacteri- um ...
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Development of ABF and Fuzzy Based Techniques for detection of heart blocks in CT-Scan image
... Fig.3: CT scan image of heart Related work “Four-chamber heart modeling and automatic segmentation for 3D cardiac CT volumes using marginal space learning and steerable features” by Yefeng Zheng, ...
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... of CT scan in evaluation of children with afebrile seizure living in a resource limited ...by CT scan between a developing and developed ...by CT scan in higher proportions ...
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