Christine Decaestecker
- Adjusting the Outputs of a Classifier to New aPrioriProbabilities: A Simple Procedure
2002/01/01 by Marco Saerens, Patrice Latinne, Christine Decaestecker · 40 citations
Computer Science · Engineering · #Fault Detection and Control Systems #Machine Learning and Algorithms #Neural Networks and Applications
- Cells Lacking β-Actin are Genetically Reprogrammed and Maintain Conditional Migratory Capacity*
2012/03/24 by Davina Tondeleir, Anja Lambrechts, Matthias Müller +15 · 2 citations
Biochemistry, Genetics and Molecular Biology · #Cellular Mechanics and Interactions #Viral Infectious Diseases and Gene Expression in Insects #Muscle Physiology and Disorders #Cell biology #Actin #Biology #Actin remodeling #Myosin #Cell migration #Profilin #Conditional gene knockout #Actin remodeling of neurons #Gene knockout #Actin cytoskeleton #Phenotype #Cell #Cytoskeleton #Genetics #Gene
- Deep Learning for Reaction-Diffusion Glioma Growth Modelling: Towards a Fully Personalised Model?
2021/11/26 by Corentin Martens, Antonin Rovaï, Martens, Corentin +13 · 2 citations
Mathematics · Medicine · #Mathematical Biology Tumor Growth #Radiomics and Machine Learning in Medical Imaging #Advanced Neuroimaging Techniques and Applications
- Impact of imperfect annotations on CNN training and performance for instance segmentation and classification in digital pathology
2024/05/14 by Laura Gálvez Jiménez, Christine Decaestecker · 1 citation
Computer Science · #AI in cancer detection #Annotation #Artificial intelligence #Artificial neural network #Computer science #Context (archaeology) #Crowdsourcing #Digital Imaging for Blood Diseases #Digital pathology #Image (mathematics) #Machine Learning and Data Classification #Machine learning #Market segmentation #Noise (video) #Overfitting #Pattern recognition (psychology) #Process (computing) #Segmentation #Set (abstract data type) #Task (project management) #Training set