Essays about: "images"
Showing result 16 - 20 of 3562 essays containing the word images.
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16. 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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17. Unlocking Poliphilo’s Dream: Towards a digital scholarly edition of the Hypnerotomachia Poliphili
University essay from Linnéuniversitetet/Institutionen för kulturvetenskaper (KV)Abstract : Hypnerotomachia Poliphili is a fifteenth-century illustrated incunabulum first published in 1499 by Aldo Manuzio in Venice. It delivers the story of two lovers separated by death but united in a dream; in fact, the entire book is a complex, multi-layered dream narrative which gradually unfolds through the interaction between text and image, inviting readers to engage with its rich content in a playful manner. READ MORE
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18. Planet-NeRF : Neural Radiance Fields for 3D Reconstruction on Satellite Imagery in Season Changing Environments
University essay from Linköpings universitet/DatorseendeAbstract : This thesis investigates the seasonal predictive capabilities of Neural Radiance Fields (NeRF) applied to satellite images. Focusing on the utilization of satellite data, the study explores how Sat-NeRF, a novel approach in computer vision, per- forms in predicting seasonal variations across different months. READ MORE
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19. Using Neural Radiance Fields and Gaussian Splatting for 3D reconstruction of aircraft inspections
University essay from Lunds universitet/Matematik LTHAbstract : The rapid evolution of machine learning techniques has revolutionized computer vision, particularly with the introduction of Neural Radiance Fields (NeRF) and the optimization of 3D Gaussians for rendering novel scene views. These methods, such as NeRF and Gaussian Splatting, have demonstrated success in synthetic data scenarios with consistent lighting and well-captured scenes. READ MORE
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20. Classifying femur fractures using federated learning
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : The rarity and subtle radiographic features of atypical femoral fractures (AFF) make it difficult to distinguish radiologically from normal femoral fractures (NFF). Compared with NFF, AFF has subtle radiological features and is associated with the long-term use of bisphosphonates for the treatment of osteoporosis. READ MORE