Essays about: "X-ray detection"
Showing result 1 - 5 of 54 essays containing the words X-ray detection.
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1. Developing a highly accurate, locally interpretable neural network for medical image analysis
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Background Machine learning techniques, such as convolutional networks, have shown promise in medical image analysis, including the detection of pediatric pneumonia. However, the interpretability of these models is often lacking, compromising their trustworthiness and acceptance in medical applications. READ MORE
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2. Barium in the O horizon of soils near Sundsvall, northern Sweden : From local minerals or from anthropogenic emissions?
University essay from Umeå universitet/Institutionen för ekologi, miljö och geovetenskapAbstract : Concentrations of potentially toxic metals in surface soils are important to investigate before building new residential areas. Prior to development of a residential area in Sundsvall, northern Sweden, it was observed that barium (Ba) concentrations in the soil at the site exceeded the guideline value of 200 mg kg-1 outlined by the Swedish Environmental Protection Agency. READ MORE
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3. The effect of model calibration on noisy label detection
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The advances in deep neural networks in recent years have opened up the possibility of using image classification as a valuable tool in various areas, such as medical diagnosis from x-ray images. However, training deep neural networks requires large amounts of annotated data which has to be labelled manually, by a person. READ MORE
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4. Study of surfactant-preservative and protein-preservative interactions in multi-dose injectable formulation
University essay from Lunds universitet/Livsmedelsteknik och nutrition (master)Abstract : Multidose injectable formulations require a preservative such as phenol to ensure sterility and protection against microbial contamination during clinical use. However, it is known that the interaction between these components and non-ionic surfactants such as polysorbate 80, also found in this type of formulations, present incompatibilities, which can lead to decreases in the efficacy of the product. READ MORE
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5. Segmentation of x-ray images using deep learning trained on synthetic data
University essay from KTH/FysikAbstract : Radiograph examinations play a critical role in various applications such as the detection of bone pathologies and lung cancer, despite the challenge of false negatives. The integration of Artificial Intelligence (AI) holds promise in enhancing image quality and assisting radiologists in their diagnostic processes. READ MORE
