Essays about: "Tumor Classification"
Showing result 11 - 15 of 25 essays containing the words Tumor Classification.
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11. Improving Brain Tumor Segmentation using synthetic images from GANs
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : Artificial intelligence (AI) has been seeing a great amount of hype around it for a few years but more so now in the field of diagnostic medical imaging. AI-based diagnoses have shown improvements in detecting the smallest abnormalities present in tumors and lesions. This can tremendously help public healthcare. READ MORE
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12. Patch-level classification of brain tumor tissue in digital histopathology slides with Deep Learning
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : Histopathology refers to the visual inspection of tissue under the microscope and it is the core part of diagnosis. The process of manual inspection of histopathology slides is very time-consuming for pathologists and error-prone. Furthermore, diagnosis can sometimes differ among specialists. READ MORE
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13. Determining linguistic predictor for the classification of subjective cognitive impairment and mild cognitive impairment using machine learning
University essay from Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteoriAbstract : Introduction Mild Cognitive Impairment (MCI) is a neurological condition characterized by cognitive decline greater than expected for an individual's age and education level. Subjective Cognitive Impairment (SCI) is a selfreported decline in cognitive abilities but not clinically identified as MCI. READ MORE
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14. Automated Histopathological Evaluation of Tumor Images using CNNs
University essay from Lunds universitet/Avdelningen för Biomedicinsk teknikAbstract : Histopathology is the procedure used in medicine to optically examine microscope-images of tissue samples (biopsies) in order to study the manifestation of disease. It is used, for example, to diagnose the spread and type of cancer tumors, which have implications on the chosen treatment. READ MORE
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15. Semi-Supervised Medical Image Segmentation with Equivariance Regularization
University essay from Lunds universitet/Matematik LTHAbstract : The last decades of research in machine learning and deep learning have lead to enormous advancements in the field. One of the areas that stand to gain the most from this is the medical sector. READ MORE