Sökning: "segmented model"
Visar resultat 1 - 5 av 92 uppsatser innehållade orden segmented model.
1. Image-driven simulation of brain tumors using a reaction-diffusion mathematical model
Master-uppsats, Linköpings universitet/Avdelningen för medicinsk teknikSammanfattning : Brain tumors pose a big challenge in the field of neuro-oncology. Gliomas are the largest subgroup. Magnetic resonance imaging is a non-invasive tool for detecting and characterizing these tumors. Mathematical models, such as the reaction-diffusion equation, can be used for understanding the intricate behavior of gliomas. LÄS MER
2. Investigations of Free Text Indexing Using NLP : Comparisons of Search Algorithms and Models in Apache Solr
Master-uppsats, Linköpings universitet/Interaktiva och kognitiva systemSammanfattning : As Natural Language Processing progresses societal and applications like OpenAI obtain more considerable popularity in society, businesses encourage the integration of NLP into their systems. Both to improve the user experience and provide users with their requested information. LÄS MER
3. Data Augmentations for Improving Vision-Based Damage Detection : in Land Transport Infrastructure
Master-uppsats, KTH/Lantmäteri – fastighetsvetenskap och geodesiSammanfattning : Crack, a typical term most people know, is a common form of distress or damage in road pavements and railway sleepers. It poses significant challenges to their structural integrity, safety, and longevity. Over the years, researchers have developed various data-driven technologies for image-based crack detection in road and sleeper applications. LÄS MER
4. Optic nerve sheath diameter semantic segmentation and feature extraction
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Traumatic brain injury (TBI) affects millions of people worldwide, leading to significant mortality and disability rates. Elevated intracranial pressure (ICP) resulting from TBI can cause severe complications and requires early detection to improve patient outcomes. LÄS MER
5. Structure from Motion with a Neural Network
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : This project delves into the 3D reconstruction of both single and multiple rigid motions, examining the potential of deep learning methods, such as that proposed by Moran et al., to supplant traditional geometry-based approaches. The project is structured into two main parts. LÄS MER