Essays about: "importance of segmentation"
Showing result 21 - 25 of 64 essays containing the words importance of segmentation.
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21. Estimation of Red Blood Cell-Count using Neural Networks
University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/FörbränningsfysikAbstract : Quantification through image analysis is used in a multitude of fields, and often requires algorithms tailored to the specific task and object that needs to be quantified. The need for flexibility means that such segmentation algorithms are quickly becoming outdated with the advent of convolutional neural networks, which can be trained to fit the specific requirements of the user. READ MORE
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22. Accelerating growth - Determinants of revenue growth in technology startups
University essay from Lunds universitet/ProduktionsekonomiAbstract : In today’s competitive market landscape, companies in an early phase with a business model that in the long term is expected to generate revenues from a global customer base, are facing increasing challenges to realise their growth targets. At the same time, global economical, technological, and societal megatrends forces incumbents and new challengers alike to adapt their modus operandi. READ MORE
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23. eHealth - System Usability Improvement : Bridging the Gap Between Stakeholders and Nurses
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Abstract Electronic Health (eHealth) denotes the practice of information communication technology within healthcare. In the health care sector, eHealth has received countless criticizing from nurses, who constitute the largest group among healthcare providers. READ MORE
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24. Data Augmentation to Increase Multi-Site Robustness for Convolutional Neural Networks - A case study on MRI segmentation of target and organs at risk for prostate cancer
University essay from Lunds universitet/Matematisk statistikAbstract : Organ segmentation on magnetic resonance (MR) images for dose planning on cancer patients is a time consuming process that can be automatized by using convolutional neural networks (CNNs). MR images vary greatly in characteristics across acquisition sites, which affects CNN segmentation performance. READ MORE
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25. Evaluation of Data Augmentation of MR Images for Deep Learning
University essay from Lunds universitet/Matematisk statistikAbstract : Data augmentation is a process to create new artificial data by altering the available data set. It has by many been considered a key factor for increasing robustness and performance of image classification tasks using deep learning methods, such as the convolutional neural network. READ MORE
