Essays about: "bilddata"
Showing result 16 - 20 of 41 essays containing the word bilddata.
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16. Exploring Deep Learning Approaches to Cleft Lip and Palate Speech
University essay from Lunds universitet/Matematisk statistikAbstract : Cleft lip and palate belong to the most common deformities present at birth. The condition hampers normal speech development in children, and treatment involves both surgery and regular sessions with a speech pathologist. READ MORE
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17. Evaluating Unsupervised Methods for Out-of-Distribution Detection on Semantically Similar Image Data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Out-of-distribution detection considers methods used to detect data that deviates from the underlying data distribution used to train some machine learning model. This is an important topic, as artificial neural networks have previously been shown to be capable of producing arbitrarily confident predictions, even for anomalous samples that deviate from the training distribution. READ MORE
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18. 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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19. Impact of using different brain layer amounts on the accuracy of Convolutional Neural networks trained on MR-Images to identify Parkinson's Disease
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Parkinson’s Disease (PD) is a neurodegenerative disease and brain disorder which affects the motor system and leads to shaking, stiffness, impaired balance and coordination. Diagnosing PD from Magnetic resonance images (MR-images) is difficult and often not possible for medical experts and therefore Convolutional neural networks (CNNs) are used instead. READ MORE
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20. Assisted Annotation of Sequential Image Data With CNN and Pixel Tracking
University essay from KTH/Matematik (Avd.)Abstract : In this master thesis, different neural networks have investigated annotating objects in video streams with partially annotated data as input. Annotation in this thesis is referring to bounding boxes around the targeted objects. READ MORE
