Essays about: "Bildsegmentering."

Showing result 1 - 5 of 32 essays containing the word Bildsegmentering..

1. 1. Image Segmentation and Object Identification in Cancer Tissue Slides from Fluorescence Microscopy

   University essay from Uppsala universitet/Avdelningen Vi3

   Author : Sebastian Eriksson; Fredrik Forsberg; [2023]
   Keywords : image analysis; cancer research; fluorescent microscopy; image segmentation; bildanalys; cancerforskning; fluorescensmikroskopi; bildsegmentering;

   Abstract : In cancer research, there is a need to make accurate spatial measurements in multi-layered fluorescence microscopy images. Researchers would like to measure distances in and between biological objects such as nerves and tumours, to investigate questions which includes if nerve distribution in and around tumours can have a prognostic value in cancer diagnostics. READ MORE

3. 2. Self-learning for 3D segmentation of medical images from single and few-slice annotation

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Côme Lassarat; [2023]
   Keywords : Self-supervised Learning; Segmentation; Medical images; Självövervakad inlärning; segmentering; medicinska bilder;

   Abstract : Training deep-learning networks to segment a particular region of interest (ROI) in 3D medical acquisitions (also called volumes) usually requires annotating a lot of data upstream because of the predominant fully supervised nature of the existing stateof-the-art models. To alleviate this annotation burden for medical experts and the associated cost, leveraging self-learning models, whose strength lies in their ability to be trained with unlabeled data, is a natural and straightforward approach. READ MORE

4. 3. Volumetric Image Segmentation of Lizard Brains

   University essay from KTH/Tillämpad fysik

   Author : Yulia Dragunova; [2023]
   Keywords : image segmentation; deep learning; atlas; lizard brain; micro-CT; image augmentation; bild segmentering; djupinlärning; atlas; ödelhjärna; mikro-datortomagrofi; datautökning;

   Abstract : Accurate measurement brain region volumes are important in studying brain plasticity, which brings insight into the fundamental mechanisms in animal, memory, cognitive, and behavior research. The traditional methods of brain volume measurements are ellipsoid or histology. READ MORE

5. 4. Optic nerve sheath diameter semantic segmentation and feature extraction

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Simone Bonato; [2023]
   Keywords : Machine Learning; Computer Vision; Image Segmentation; Medical Imaging; Optic Nerve Sheath Diameter; nnU-Net; Maskininlärning; datorseende; bildsegmentering; medicinsk bildbehandling; optisk nervslidsdiameter; nnU-Net;

   Abstract : 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. READ MORE

6. 5. Self-supervised pre-training of an attention-based model for 3D medical image segmentation

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Albert Sund Aillet; [2023]
   Keywords : Computer vision; Deep learning; 3D Medical image segmentation; Self-supervised learning; Datorseende; Djupinlärning; 3D Medicinsk bildsegmentering; Självövervakad träning;

   Abstract : Accurate segmentation of anatomical structures is crucial for radiation therapy in cancer treatment. Deep learning methods have been demonstrated effective for segmentation of 3D medical images, establishing the current standard. However, they require large amounts of labelled data and suffer from reduced performance on domain shift. READ MORE