Essays about: "computer-aided diagnosis"
Showing result 6 - 10 of 30 essays containing the words computer-aided diagnosis.
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6. Evaluating automatic colour equalization to preprocess dermoscopic images for classification using a CNN
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Skin cancer is one of the most prevalent types of cancer and diagnosing of skin lesions are mostly done by visual inspection by a doctor. Lately, computer- aided diagnosis (CAD) has gained popularity and previous studies have with great results utilized a convolutional neural network (CNN) to classify dermoscopic images of different benign and malignant skin lesions. READ MORE
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7. Influence of T1 and T2 weighted MRI images on automated diagnosis of Alzheimer's disease
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Alzheimer’s Disease (AD) is the most common form of dementia and according to the World Health Organization it contributes to 60-70% of the approximately 50 million total worldwide dementia cases. While AD is easy to diagnose from a patient’s symptoms alone, due to AD atrophying brain tissue, a Magnetic Resonance Imaging (MRI) scan can strengthen the diagnosis. READ MORE
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8. Deep Learning Approach for Diabetic Retinopathy Grading with Transfer Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Diabetic retinopathy (DR) is a complication of diabetes and is a disease that affects the eyes. It is one of the leading causes of blindness in the Western world. As the number of people with diabetes grows globally, so does the number of people affected by diabetic retinopathy. READ MORE
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9. Evaluation of two CNN models, VGGNet-16 & VGGNet-19, for classification of Alzheimer’s disease in brain MRI scans
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Computer-aided-diagnosis (CAD) emerged in the early 1950s and since then CAD has facilitated the diagnosing of many medical conditions and diseases. In particular, CADfor Alzheimer’s disease (AD) has been immensely researched the last decade thanks to advanced neuroimaging techniques such as magnetic resonance imaging (MRI) and positron emission tomography (PET). READ MORE
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10. Polyp segmentation using artificial neural networks
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : Colorectal cancer is the second cause of cancer death in the world. Aiming to early detect and prevent this type of cancer, clinicians perform screenings through the colon searching for polyps (colorectal cancer precursor lesions).If found, these lesions are susceptible of being removed in order to further ana-lyze their malignancy degree. READ MORE
