Sökning: "binary image processing"

Visar resultat 1 - 5 av 17 avhandlingar innehållade orden binary image processing.

1. 1. On Medical Image Segmentation With Noisy Labels

   Författare :Marcus Nordström; Henrik Hult; Atsuto Maki; Fredrik Kahl; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Medical image segmentation; image segmentation; machine learning; supervised learning; label noise; Sörensen-Dice coefficient; soft-Dice; Medicinsk bildsegmentering; bildsegmentering; maskininlärning; övervakat lärande; annoteringsbrus; Sörensen-Dice koefficienten; soft-Dice; Tillämpad matematik och beräkningsmatematik; Applied and Computational Mathematics; Mathematical Statistics; Matematisk statistik;

   Sammanfattning : It is well known that data sets used for training and testing automatic medical image segmentation methods often contain a lot of label noise. Such noise affects the performance of the methods and has been subject to a lot of research. LÄS MER

3. 2. Fast Methods for Vascular Segmentation Based on Approximate Skeleton Detection

   Författare :Kristína Lidayová; Hans Frimmel; Ewert Bengtsson; Örjan Smedby; Alejandro F. Frangi; Uppsala universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; medical image analysis; automatic skeleton extraction; vascular segmentation; coverage segmentation; convolutional neural network classifier; CT angiography; Computerized Image Processing; Datoriserad bildbehandling;

   Sammanfattning : Modern medical imaging techniques have revolutionized health care over the last decades, providing clinicians with high-resolution 3D images of the inside of the patient's body without the need for invasive procedures. Detailed images of the vascular anatomy can be captured by angiography, providing a valuable source of information when deciding whether a vascular intervention is needed, for planning treatment, and for analyzing the success of therapy. LÄS MER

4. 3. Image Processing Architectures for Binary Morphology and Labeling

   Författare :Hugo Hedberg; Institutionen för elektro- och informationsteknik; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; labeling; binary image processing; morphology; Hardware architectures; real-time;

   Sammanfattning : Conventional surveillance systems are omnipresent and most are still based on analog techniques. Migrating to the digital domain grants access to the world of digital image processing enabling automation of such systems, which means extracting information from the image stream without human interaction. LÄS MER

5. 4. Advanced Machine Learning Methods for Oncological Image Analysis

   Författare :Mehdi Astaraki; Chunliang Wang; Örjan Smedby; Iuliana Toma-Dasu; Bjoern Menze; KTH; Karolinska Institutet; Karolinska Institutet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Medical Image Analysis; Machine Learning; Deep Learning; Survival Analysis; Early Response Assessment; Tumor Classification; Tumor Segmentation; Medicinsk teknologi; Medical Technology;

   Sammanfattning : Cancer is a major public health problem, accounting for an estimated 10 million deaths worldwide in 2020 alone. Rapid advances in the field of image acquisition and hardware development over the past three decades have resulted in the development of modern medical imaging modalities that can capture high-resolution anatomical, physiological, functional, and metabolic quantitative information from cancerous organs. LÄS MER

7. 5. On Feature Extraction and Classification in Speech and Image Processing

   Författare :Mikael Nilsson; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

   Sammanfattning : The natural world is home to innumerable patterns in various forms, which humans are able to locate and interpret by means of the senses. This thesis presents and explores different techniques that mimic such behavior through the use of artificial sensors and computational power, i.e. LÄS MER