Sökning: "CycleGAN"

Visar resultat 11 - 15 av 23 uppsatser innehållade ordet CycleGAN.

1. 11. Domain Adaptation for Combined CT and CBCT Deep Learning Segmentation

   Master-uppsats, Lunds universitet/Matematik LTH

   Författare :Jonas Berg; [2021]
   Nyckelord :CT; CBCT; Deep Learning; Medical Image Segmentation; Radiotherapy; Domain Adaptation; CycleGAN; Domain Adversarial Neural Network; U-Net; Data Augmentation; Machine Learning; Technology and Engineering;

   Sammanfattning : Computed tomography (CT) segmentation models are frequently used within radiotherapy treatment planning, but similar models are not available to the related imaging modality cone beam computed tomography (CBCT) due to the scarcity of labeled data from this domain. Such models could have multiple clinical applications whereby it is of interest to study whether the CT segmentation models can be adapted to generalize to the CBCT domain. LÄS MER

3. 12. Data Augmentation to Improve Cross-Domain Generalization in Deep Learning MRI Segmentation

   Master-uppsats, Lunds universitet/Matematik LTH

   Författare :Rasmus Helander; [2021]
   Nyckelord :deep learning; medical imaging; mri; segmentation; data augmentation; cyclegan; noisy labels; Mathematics and Statistics;

   Sammanfattning : Semantic segmentation of medical images is an important task with many applications. However, manually delineating 3D images is time-consuming and the demand for automation is high. For many image segmentation tasks, deep learning has provided state-of-the-art results. LÄS MER

4. 13. Generative Adversarial Networks for Cross-Lingual Voice Conversion

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Fredrik Ankaräng; [2021]
   Nyckelord :Generative Adversarial Network; CycleGAN; Cross-Lingual Voice Conversion; Speech Synthesis; Machine Learning;

   Sammanfattning : Speech synthesis is a technology that increasingly influences our daily lives, in the form of smart assistants, advanced translation systems and similar applications. In this thesis, the phenomenon of making one’s voice sound like the voice of someone else is explored. LÄS MER

5. 14. Unsupervised Image-to-image translation : Taking inspiration from human perception

   Magister-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Författare :Jens Jakob Sveding; [2021]
   Nyckelord :Artificial intelligence; Unsupervised learning; Image-to-Image translation; Generative Adversarial Networks; Structural Similarity Index Measure;

   Sammanfattning : Generative Artificial Intelligence is a field of artificial intelligence where systems can learn underlying patterns in previously seen content and generate new content. This thesis explores a generative artificial intelligence technique used for image-toimage translations called Cycle-consistent Adversarial network (CycleGAN), which can translate images from one domain into another. LÄS MER

7. 15. Segmentation and synthesis of pelvic region CT images via neural networks trained on XCAT phantom data

   Master-uppsats, Linköpings universitet/Datorseende

   Författare :HANG ZHAO; [2021]
   Nyckelord :;

   Sammanfattning : Deep learning methods for medical image segmentation are hindered by the lack of training data. This thesis aims to develop a method that overcomes this problem. Basic U-net trained on XCAT phantom data was tested first. The segmentation results were unsatisfactory even when artificial quantum noise was added. LÄS MER