Essays about: "pretraining"
Showing result 1 - 5 of 20 essays containing the word pretraining.
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1. Exploring adaptation of self-supervised representation learning to histopathology images for liver cancer detection
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : This thesis explores adapting self-supervised representation learning to visual domains beyond natural scenes, focusing on medical imaging. The research addresses the central question: "How can self-supervised representation learning be specifically adapted for detecting liver cancer in histopathology images?" The study utilizes the PAIP 2019 dataset for liver cancer segmentation and employs a self-supervised approach based on the VICReg method. READ MORE
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2. Utilizing Transformers with Domain-Specific Pretraining and Active Learning to Enable Mining of Product Labels
University essay from Uppsala universitet/Avdelningen för beräkningsvetenskapAbstract : Structured Product Labels (SPLs), the package inserts that accompany drugs governed by the Food and Drugs Administration (FDA), hold information about Adverse Drug Reactions (ADRs) that exists associated with drugs post-market. This information is valuable for actors working in the field of pharmacovigilance aiming to improve the safety of drugs. READ MORE
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3. Classification of Radar Emitters using Semi-Supervised Contrastive Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Radar is a commonly used radio equipment in military and civilian settings for discovering and locating foreign objects. In a military context, pilots being discovered by radar could have fatal consequences. READ MORE
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4. Semi-supervised anomaly detection in mask writer servo logs : An investigation of semi-supervised deep learning approaches for anomaly detection in servo logs of photomask writers
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Semi-supervised anomaly detection is the setting, where in addition to a set of nominal samples, predominantly normal, a small set of labeled anomalies is available at training. In contrast to supervised defect classification, these methods do not learn the anomaly class directly and should have better generalization capability as new kinds of anomalies are introduced at test time. READ MORE
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5. Facial Expression Recognition for Clinical Trial Self-recordings
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Facial expressions have long been linked to human emotions, physiology, and behavior. Novel work suggests that clinical trial subject facial expression relates to self-reported quality of life. READ MORE
