Essays about: "thesis for medical image segmentation"

Showing result 1 - 5 of 38 essays containing the words thesis for medical image segmentation.

1. 1. Comparative Analysis of Transformer and CNN Based Models for 2D Brain Tumor Segmentation

   University essay from Linköpings universitet/Institutionen för medicinsk teknik

   Author : Henrik Träff; [2023]
   Keywords : Machine Learning; ML; AI; Computer vision; Vision Transformer; Swin Transformer; U-Net; nnU-Net; Brain Tumor Segmentation; Deep Learning;

   Abstract : A brain tumor is an abnormal growth of cells within the brain, which can be categorized into primary and secondary tumor types. The most common type of primary tumors in adults are gliomas, which can be further classified into high-grade gliomas (HGGs) and low-grade gliomas (LGGs). READ MORE

3. 2. 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

4. 3. 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

5. 4. Deep Learning-Based Automated Landmark Localization for Evan’s Index Computation

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Richards Britto Christu Dhas; [2023]
   Keywords : ;

   Abstract : Hydrocephalus is a neurological disorder characterized by the accumulation of cerebrospinal fluid in the brain, leading to an enlargement of the ventricular system. Among its subtypes is idiopathic normal pressure hydrocephalus (iNPH), characterized by normal cerebrospinal fluid pressure. READ MORE

6. 5. Dealing With Speckle Noise in Deep Neural Network Segmentation of Medical Ultrasound Images

   University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

   Author : Olmo Daniel; [2022]
   Keywords : Deep Learning; Ultrasound; Speckle Filtering; Medical Image Segmentation; U-Net; Wavelet Transfrom; Djupinlärning; Ultraljud; Specklefiltrering; Medicinsk bildsegmentering; U-Net; Wavelet transformation;

   Abstract : Segmentation of ultrasonic images is a common task in healthcare that requires time and attention from healthcare professionals. Automation of medical image segmentation using deep learning solutions is fast growing field and has been shown to be capable of near human performance. READ MORE