Sökning: "artificial neural networks image"

Visar resultat 6 - 10 av 40 avhandlingar innehållade orden artificial neural networks image.

1. 6. Deep Learning Applications - From image analysis to medical diagnosis

   Författare :Saga Helgadottir; Göteborgs universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; deep learning; neural networks; image analysis; microscopy; medical diagnosis;

   Sammanfattning : Deep learning is a subcategory of machine learning and artificial intelligence. Instead of using explicit rules to perform a desired task as in standard algorithmic approaches, machine-learning algorithms autonomously learn from data to determine the rules for the task at hand. LÄS MER

3. 7. Modeling glioblastoma growth patterns and their mechanistic origins

   Författare :Emil Rosén; Sven Nelander; Rebecka Jörnsten; Philip Gerlee; Kristin Swanson; Uppsala universitet; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; glioblastoma; invasion; image analysis; neural networks; Mathematics with specialization in Applied Mathematics; Matematik med inriktning mot tillämpad matematik; Oncology; Onkologi; Molekylär medicin; Molecular Medicine;

   Sammanfattning : Glioblastoma (GBM) is the most common and aggressive primary brain cancer. GBM cells migrate away from the primary lesion and invade healthy brain tissue. The invading cells escape surgical resection, radiotherapy and develop resistance to chemotherapy. Consequently, despite treatment, recurrence is inevitable, and survival is only 14 months. LÄS MER

4. 8. Pith location and annual ring detection for modelling of knots and fibre orientation in structural timber : A Deep-Learning-Based Approach

   Författare :Tadios Habite; Anders Olsson; Osama Abdeljaber; Jan Oscarsson; Welf Löwe; Julie Cool; Linnéuniversitetet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Sawn timber; Pith location; Deep learning; Artificial neural networks; Convolutional neural network; Conditional generative adversarial network; Knot detection; Knot modelling; Knot reconstruction; Fibre orientation; Annual ring profile; Byggteknik; Civil engineering;

   Sammanfattning : Detection of pith, annual rings and knots in relation to timber board cross-sections is relevant for many purposes, such as for modelling of sawn timber and for real-time assessment of strength, stiffness and shape stability of wood materials. However, the methods that are available and implemented in optical scanners today do not always meet customer accuracy and/or speed requirements. LÄS MER

5. 9. Image Based Visualization Methods for Meteorological Data

   Författare :Björn Olsson; Anders Ynnerman; Reiner Lenz; Anders Hast; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Visualization; Meteorological Data; Artificial Neural Networks; High-Dynamic-Range images; Satellite Data; Classification; Computer science; Datavetenskap;

   Sammanfattning : Visualization is the process of constructing methods, which are able to synthesize interesting and informative images from data sets, to simplify the process of interpreting the data. In this thesis a new approach to construct meteorological visualization methods using neural network technology is described. LÄS MER

7. 10. Improved Interpretation of Myocardial Perfusion Images by Artificial Neural Networks

   Författare :Kristina Tägil; Institutionen för translationell medicin; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES;

   Sammanfattning : Correct interpretation of medical imaging is based upon the interpreter’s experience and image quality. Depending on the report given the clinician decides how to use the result of the study. LÄS MER