Sökning: "label noise"
Visar resultat 1 - 5 av 13 avhandlingar innehållade orden label noise.
1. On Medical Image Segmentation With Noisy Labels
Sammanfattning : It is well known that data sets used for training and testing automatic medical image segmentation methods often contain a lot of label noise. Such noise affects the performance of the methods and has been subject to a lot of research. LÄS MER
2. Silicon Nanowire Field-Effect Devices as Low-Noise Sensors
Sammanfattning : In the past decades, silicon nanowire field-effect transistors (SiNWFETs) have been explored for label-free, highly sensitive, and real-time detections of chemical and biological species. The SiNWFETs are anticipated for sensing analyte at ultralow concentrations, even at single-molecule level, owing to their significantly improved charge sensitivity over large-area FETs. LÄS MER
3. On Uncertainty Quantification in Neural Networks: Ensemble Distillation and Weak Supervision
Sammanfattning : Machine learning models are employed in several aspects of society, ranging from autonomous cars to justice systems. They affect your everyday life, for instance through recommendations on your streaming service and by informing decisions in healthcare, and are expected to have even more influence in society in the future. LÄS MER
4. Unsupervised Segmentation of Head Tissues from Multi-Modal Magnetic Resonance Images: With Application to EEG Source Localization and Stroke Detection
Sammanfattning : The automated segmentation or labeling of individual tissues in magnetic resonance (MR) images of the human head is an essential first step in several biomedical applications. The resulting segmentation yields a patient-specific labeling of individual tissues that can be used to quantitatively characterize these tissues (e.g. LÄS MER
5. Pushing the Boundaries of Biomolecule Characterization through Deep Learning
Sammanfattning : The importance of studying biological molecules in living organisms can hardly be overstated as they regulate crucial processes in living matter of all kinds. Their ubiquitous nature makes them relevant for disease diagnosis, drug development, and for our fundamental understanding of the complex systems of biology. LÄS MER