Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 31 for “"Computer-aided diagnosis"”.
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Computer aided diagnosis algorithms for digital microscopy
… a highly chal- lenging research problem in the computer vision area, attempting to describe the image content with computational and mathematical techniques. Moreover the in- formation extracted from the image should be meaningful and as most discrimi- natory as possible, since it will be used …
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Computer aided diagnosis of miliary TB in chest X-rays
With the improvement in computer technology, Computer Aided Diagnosis (CAD) is becoming an increasingly more powerful tool for radiologists. The focus of this project was on CAD of pulmonary miliary tuberculosis. Several methods for enhancing lung textures were discussed as an aid to the …
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Computer-Aided Diagnosis Systems in the Classification of Neuroblastoma Histological Images
… is considered the gold standard, computers can help to extract many more features, some of which may not be recognisable by the human eye. Neuroblastoma histological images have a complex texture with complicated features which are different from appearance-based features. …
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Computer Aided Diagnosis Systems for Digital Analysis of Osteosarcoma and Skin Cancer
Computer-aided detection/diagnosis (CAD) systems assist medical professionals in the interpretation of medical images. Many image modalities such as X-ray, MRI, and ultrasound already have diagnostics systems that process digital images for regions of interest and compute diagnostic patterns to …
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Feature detection in ultrasound images for computer aided diagnosis of Hodgkin's Lymphoma
… imaging interpretability of ultrasound for HL diagnosis in a HIV TB endemic environment. To achieve this, a precise abdominal ultrasound protocol was developed with clinical guidance. The specific frames in the protocol were used to detect several image biomarkers of clinical interest: splenic …
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Computer-aided diagnosis of tuberculosis in paediatric chest X-rays using local textural analysis
This report presents a computerised tool to analyse the appearance of the lung fields in paediatric chest X-rays to detect the presence of tuberculosis. The computer aided diagnosis (CAD) tool consists of 4 phases: 1) lung field segmentation; 2) lung field subdivision; 3) feature extraction and 4) …
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SHAPE INFLUENCE IN MEDICAL IMAGE SEGMENTATION WITH APPLICATION IN COMPUTER AIDED DIAGNOSIS IN CT COLONOGRAPHY
Computer-aided diagnosis (CAD) is a procedure in medicine that assists radiologists or physicians in the interpretation of medical images. The application of CAD in screening colorectal cancer (CRC) has been studied for more than two decades. CRC is the second most deadly form of cancer in men and …
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Assessment and Diagnosis of Human Colorectal and Ovarian Cancer using Optical Imaging and Computer-aided Diagnosis
… scattering has recently emerged as an important diagnosis parameter associated with early tumor development and progression. To characterize the differences between benign and malignant colorectal tissues, we have created an automated optical scattering coefficient mapping algorithm using an …
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Quantitative Analysis of Ultrasound Images of the Preterm Brain
… multiple techniques to assist in what is called Computer-Aided Diagnosis. As a main result we are able to increase the qualitative diagnosis from a 70% detectability to a 98% quantitative detectability.
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AI-driven Automated Medical Imaging Analysis
… image analysis are crucial for timely clinical diagnosis.</p> <p>This dissertation focuses on advancing automatic computer-aided diagnosis systems to detect cancer, assisting radiologists with early intervention to improve survival rates. Many researchers have employed Artificial intelligence …
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Implementation and evaluation of a bony structure suppression software tool for chest X-ray imaging
… in the analysis of chest X-ray images. The diagnosis of pulmonary tuberculosis (TB) often includes the evaluation of chest X-ray images, and the reliability of image interpretation depends upon the experience of the radiologist. Computer-aided diagnosis (CAD) may be used to increase the …
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SVM-based Harris Corner Detection to Classify Normal/Abnormal Breast Mammogram Images
… is one of the most important materials of the Computer-Aided Diagnosis (CAD) system to support diagnosis of breast cancer. In the CAD system, intensity value is a widely used feature for medical image processing. Classification of the breast mammogram image as normal or abnormal class is …
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Identifying lesions in paediatric epilepsy using morphometric and textural analysis of magnetic resonance images
… in patients with MRIvisible FCD. We aim to use a computer-aided diagnosis system to identify epileptogenic lesions with a combination of established morphometric features and textural analysis using Gray-Level Co-occurrence Matrices (GLCM) on MRI sequences. The model will be validated on …
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LUNG PATTERN CLASSIFICATION VIA DCNN
… of ILD plays a crucial role in the diagnosis and treatment process. In this research work, we disclose a lung nodules recognition method based on a deep convolutional neural network (DCNN) and global features, which can be used for computer-aided diagnosis (CAD) of global features of …
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Lung cancer malignancy predication with recurrent neural networks
… 25% of all cancer deaths. Existing work in computer-aided diagnosis (CAD) has applied convolutional neural networks (CNNs) to detect and classify nodules in CT scans, with the goal of assisting radiologists diagnose lung cancer. In the past decade, new screening pro- tocols have been enacted …
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Image analysis methods for diagnosis of diffuse lung disease in multi-detector computed tomography
… analysis techniques have been broadly used in computer aided diagnosis tasks in recent years. Computer-aided image analysis is a popular tool in medical imaging research and practice, especially due to the development of different imag- ing modalities and due to the increased volume of image …
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Análise de acurácia do diagnóstico assistido por computador no diagnóstico de lesões radiolucentes maxilofaciais - uma revisão sistemática e meta-análise
… of computational image processing for the diagnosis of radiolucent maxillofacial lesions in comparison with histological biopsy diagnosis. Methods: A systematic review was conducted according to the statements of PRISMA- P and considering ten databases, including the grey literature. …
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Detection of breast cancer microcalcifications in digitized mammograms. Developing segmentation and classification techniques for the processing of MIAS database mammograms based on the Wavelet Decomposition Transform and Support Vector Machines
Mammography is used to aid early detection and diagnosis systems. It takes an x-ray image of the breast and can provide a second opinion for radiologists. The earlier detection is made, the better treatment works. Digital mammograms are dealt with by Computer Aided Diagnosis (CAD) systems that can …
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Detection of breast cancer microcalcifications in digitized mammograms. Developing segmentation and classification techniques for the processing of MIAS database mammograms based on the Wavelet Decomposition Transform and Support Vector Machines.
Mammography is used to aid early detection and diagnosis systems. It takes an x-ray image of the breast and can provide a second opinion for radiologists. The earlier detection is made, the better treatment works. Digital mammograms are dealt with by Computer Aided Diagnosis (CAD) systems that can …
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Chest X-Ray Image Classification with Deep Learning
Computer-aided diagnosis (CAD) systems have been successfully helped to clinical diagnosis. This dissertation considers one essential task in CAD, the chest X-ray (CXR) image classification problem, with the deep learning technologies from the following three aspects. First, considering most …
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