Essays about: "case study -breast cancer"
Showing result 1 - 5 of 66 essays containing the words case study -breast cancer.
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1. Evaluating aperture shape controller (ASC) in modulated radiation treatments
University essay fromAbstract : To decrease aperture complexity, the aperture shape controller (ASC) is a recently introduced function in Eclipse external beam planning (Varian Medical Systems, Palo Alto, USA). ASC works within the photon optimizer, minimizing distances between adjacent leaf tips of the MLC. READ MORE
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2. Refining the particulate matter airway deposition arising from indoor cooking-related biomass combustion for children in the Haramaya district in Ethiopia
University essay from Lunds universitet/Ergonomi och aerosolteknologiAbstract : Background: Air pollution, a global issue affecting millions of individuals, is linked to adverse health effects on the respiratory system, but also to e.g., cancer and cardiovascular ailments. In low-income countries, cooking is often conducted by biomass-combustion, causing women and children to be exposed to high levels of indoor air pollution. READ MORE
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3. Bootstrapping methods for assessing causality in survival analysis: A case study on major adverse cardiovascular events
University essay from Lunds universitet/Matematisk statistikAbstract : The combination of graphical models with Aalen's additive hazards model, resulting in a model known as dynamical path analysis, permits assessing the effects of different variables on times until an event and decomposing these total effects into direct and indirect effects. This thesis proposes novel bootstrapping methods designed for left-truncated right-censored data, conditional on covariates within the framework of Aalen's additive hazards model, in order to obtain confidence intervals for the estimates. READ MORE
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4. Prediction of the gain in classification performance from combining multiple imaging modalities
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : In this work, we investigate the relationship between different image modalities and classification performance, aiming to predict the potential gain in classification accuracy when combining multiple modalities. We analyze mathematical and statistical measures and develop novel reconstruction measures (RMSE and RSSIM) to assess information distribution between different image modalities. READ MORE
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5. A Comparison of Convolutional Neural Networks used in Melanoma Detection : With transfer learning on the PAD-UFES-20 and ISIC datasets
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Skin cancer is one of the most common forms of cancer, of which melanoma is the most lethal. Early detection is critical to long term survival rates. The use of machine learning to detect melanoma shows promising results in detecting malignant forms. READ MORE
