Development of pancreatic CT – scan image dataset and retrieval process for diagnosis
نویسندگان
چکیده
This study presents medical CT scan image feature analysis, creation of data bank and development of a data mining technique. A dataset of 50 known pancreas digital CT scan images with their clinical diagnosis were composed. All images were subjected for image textual characters (energy, entropy, contrast, homogeneity and correlation), which were statistically calculated in numerical MAT lab environment with syntax. Gray level co-occurrence matrix was utilized for interpretation of 2D digital images. Data was compared and mean values were maintained for retracing a matched image with query image. Results were discussed with future innovation and scope in medical digital image diagnosis.
منابع مشابه
A New Method for Metal Artifact Reduction in CT Scan Images
Introduction In CT imaging, metallic implants inside the tissues cause metal artifact that reduce the quality of image for diagnosis. In order to reduce the effect of this artifact, a new method with more appropriate results has been presented in this research work. Materials and Methods The presented method comprised of following steps: a) image enhancement and metal areas extraction, b) sinog...
متن کاملDiagnosis of COVID-19 Disease Using Lung CT-scan Image Processing Techniques
Introduction: Today, several methods are used for detecting COVID-19 such as disease-related clinical symptoms, and more accurate diagnostic methods like lung CT-scan imaging. This study aimed to achieve an accurate diagnostic method for intelligent and automatic diagnosis of COVID-19 using lung CT-scan image processing techniques and utilize the results of this method as an accurate diagnostic...
متن کاملDiagnosis of COVID-19 Disease Using Lung CT-scan Image Processing Techniques
Introduction: Today, several methods are used for detecting COVID-19 such as disease-related clinical symptoms, and more accurate diagnostic methods like lung CT-scan imaging. This study aimed to achieve an accurate diagnostic method for intelligent and automatic diagnosis of COVID-19 using lung CT-scan image processing techniques and utilize the results of this method as an accurate diagnostic...
متن کاملProstate segmentation and lesions classification in CT images using Mask R-CNN
Purpose: Non-cancerous prostate lesions such as prostate calcification, prostate enlargement, and prostate inflammation cause too many problems for men’s health. This research proposes a novel approach, a combination of image processing techniques and deep learning methods for classification and segmentation of the prostate in CT-scan images by considering the experienced physicians’ reports. ...
متن کاملPerformance Evaluation of Different Query Sets on Expanded Diagnosed Dataset Using Content Based Image Retrieval in the Detection of Lung Nodules for Lung Cancer Diagnosis
In lung cancer computer-aided diagnosis (CAD) systems, having an accurate ground truth is critical and time consuming. In this study, we have explored Lung Image Database Consortium (LIDC) database containing pulmonary computed tomography (CT) scans, and we developed contentbased image retrieval (CBIR) approach to exploit the limited amount of diagnostically labeled data in order to annotate un...
متن کامل