Essays about: "Under The Skin"
Showing result 1 - 5 of 169 essays containing the words Under The Skin.
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1. Virtual H&E Staining Using PLS Microscopy and Neural Networks
University essay from Lunds universitet/Matematik LTHAbstract : Histopathological examination, crucial in diagnosing diseases such as cancer, traditionally relies on time- and resource-consuming, poorly standardized chemical staining for tissue visualization. This thesis presents a novel digital alternative using generative neural networks and a point light source (PLS) microscope to transform unstained skin tissue images into their stained counterparts. READ MORE
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2. Under Pressure : The Effect of Negative Emotional States on Stress Coping
University essay from Högskolan i Skövde/Institutionen för biovetenskapAbstract : Individuals exhibit different reactions to stress, both between individuals and within individuals at different time points. A person’s current emotional state is one of the primary factors that influences how they handle a stressful situation. READ MORE
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3. A New Approach for Positioning Human Body Models Utilising the 3D-Graphics Program Blender
University essay from KTH/Medicinteknik och hälsosystemAbstract : A finite element human body model (FE HBM) is a detailed virtual model of the human body that, for example, is used for simulating traffic accidents. A problem with HBMs is that there is no simple way to position the HBMs in non-standard positions. READ MORE
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4. Risk assessment of non-intentionally added substances in polyester yarn made from recycled polyethylene terephthalate (PET)
University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Abstract : Polyester is a synthetic material made from polyethylene terephthalate (PET), which is synthesised from fossil raw materials. Many clothing manufacturers are using polyester in their clothing, which, from an environmental perspective, creates a non-sustainable cycle. READ MORE
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5. The impact of pruning Convolutional Neural Networks when classifying skin cancer
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Over the past few years, there have been multiple reports showcasing how Convolutional Neural Networks (CNNs) can be used to classify if skin lesions are cancerous or non-cancerous. However, a limitation of CNNs is the large number of parameters resulting in high computation times. READ MORE