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Visar resultat 16 - 20 av 110 avhandlingar som matchar ovanstående sökkriterier.

1. 16. Deep learning approaches for image cytometry: assessing cellular morphological responses to drug perturbations

   Författare :Philip John Harrison; Ola Spjuth; Carolina Wählby; Andreas Hellander; Peter Horvath; Uppsala universitet; []
   Nyckelord :Deep Learning; Microscopy; Image Analysis; Farmaceutisk vetenskap; Pharmaceutical Science;

   Sammanfattning : Image cytometry is the analysis of cell properties from microscopy image data and is used ubiquitously in basic cell biology, medical diagnosis and drug development. In recent years deep learning has shown impressive results for many image cytometry tasks, including image processing, segmentation, classification and detection. LÄS MER

3. 17. Development and application of rule- and learning-based approaches within the scope of neuroimaging : Tensor voting, tractography and machine learning

   Författare :Daniel Jörgens; Rodrigo Moreno; Örjan Smedby; Chunliang Wang; Jesper Andersson; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; tensor voting; tractography; deep learning; tractogram filtering; diffusion magnetic resonance imaging; tensorröstning; traktografi; djupinlärning; traktogramfiltrering; diffusions-MRT; Tillämpad medicinsk teknik; Applied Medical Technology;

   Sammanfattning : The opportunity to non-invasively probe the structure and function of different parts of the human body makes medical imaging an indispensable tool in clinical diagnostics and related fields of research. Especially neuroscientists rely on modalities like structural or functional Magnetic Resonance Imaging, Computed Tomography or Positron Emission Tomography to study the human brain in vivo. LÄS MER

4. 18. Human Face Identification and Face Attribute Prediction : From Gabor Filtering to Deep Learning

   Författare :Yang Zhong; Haibo Li; Josephine Sullivan; Juyang (John) Weng; KTH; []
   Nyckelord :Media Technology; Medieteknik;

   Sammanfattning : After decades of research, it is exciting to see that face recognition technology has entered a most flourishing era. Driven by the latest development in data science and especially technical evolutions in computer vision and pattern recognition, face recognition has achieved significant progress over the last three years. LÄS MER

5. 19. Data-Centric AI for Software Performance Engineering - Predicting Workload Dependent and Independent Performance of Software Systems Using Machine Learning Based Approaches

   Författare :Hazem Samoaa; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Representation Learning; Software Performance Prediction; Machine Learning; Source code Representation; Graph Neural Network; Deep Learning; Data-Centric AI;

   Sammanfattning : Context: Machine learning (ML) approaches are widely employed in various software engineering (SE) tasks. Performance, however, is one of the most critical software quality requirements. Performance prediction is estimating the execution time of a software system prior to execution. LÄS MER

7. 20. Learning Spatiotemporal Features in Low-Data and Fine-Grained Action Recognition with an Application to Equine Pain Behavior

   Författare :Sofia Broomé; Hedvig Kjellström; Efstratios Gavves; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Equine pain; computer vision for animals; deep learning; deep video models; spatiotemporal features; video understanding; action recognition; frame dependency; video data; end-to-end learning; temporal modeling; Datalogi; Computer Science;

   Sammanfattning : Recognition of pain in animals is important because pain compromises animal welfare and can be a manifestation of disease. This is a difficult task for veterinarians and caretakers, partly because horses, being prey animals, display subtle pain behavior, and because they cannot verbalize their pain. LÄS MER