Essays about: "Medicinsk diagnostisering"
Showing result 1 - 5 of 6 essays containing the words Medicinsk diagnostisering.
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1. Image-classification for Brain Tumor using Pre-trained Convolutional Neural Network
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Brain tumor is a disease characterized by uncontrolled growth of abnormal cells in the brain. The brain is responsible for regulating the functions of all other organs, hence, any atypical growth of cells in the brain can have severe implications for its functions. READ MORE
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2. Development of a Mobile Phone Application for Measuring Muscle Shaking (tremor) in Order to Simplify Medical Diagnostics
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : At the moment, there is no quick and easy method to measure muscle shaking (tremor) reliably. In order to avoid long waiting times for an Electromyography (EMG) investigation, this thesis aims to create an Android smartphone application capable of measuring muscle tremor at a moment’s notice. READ MORE
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3. Machine Learning Algorithm for Classification of Breast Ultrasound Images
University essay from Lunds universitet/Matematik LTHAbstract : Breast cancer is the most common type of cancer worldwide and the incidence is increasing. Women in low- and middle-income countries have a high mortality to incidence ratio mainly due to a lack of resources and organized health-care. READ MORE
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4. Investigating Skin Cancer with Unsupervised Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Skin cancer is one of the most commonly diagnosed cancers in the world. Diagnosis of skin cancer is commonly performed by analysing skin lesions on the patient’s body. Today’s medical diagnostics use a established set of labels for different types of skin lesions. READ MORE
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5. PCA based dimensionality reduction of MRI images for training support vector machine to aid diagnosis of bipolar disorder
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This study aims to investigate how dimensionality reduction of neuroimaging data prior to training support vector machines (SVMs) affects the classification accuracy of bipolar disorder. This study uses principal component analysis (PCA) for dimensionality reduction. READ MORE