Essays about: "Brain Tumor Segmentation"

Showing result 1 - 5 of 12 essays containing the words Brain Tumor Segmentation.

1. 1. Image-driven simulation of brain tumors using a reaction-diffusion mathematical model

   University essay from Linköpings universitet/Avdelningen för medicinsk teknik

   Author : Kristos Qiqi; [2023]
   Keywords : brain tumor; cancer; mathematical model; simulation; magnetic resonance images; hjärntumör; cancer; matematisk model; simulering; magnetresonanstomografi bilder;

   Abstract : Brain tumors pose a big challenge in the field of neuro-oncology. Gliomas are the largest subgroup. Magnetic resonance imaging is a non-invasive tool for detecting and characterizing these tumors. Mathematical models, such as the reaction-diffusion equation, can be used for understanding the intricate behavior of gliomas. READ MORE

3. 2. 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

4. 3. Synthesis of Pediatric Brain Tumor Image With Mass Effect

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

   Author : Yu Zhou; [2022]
   Keywords : Deep learning; Medical Imaging; Data Augmentation; Children Brain Tumor; Mass effect;

   Abstract : During the last few years, deep learning-based techniques have made much progress in the medical image processing field, such as segmentation and registration. The main characteristic of these methods is the large demand of medical images to do model training. READ MORE

5. 4. Deep Learning with Importance Sampling for Brain Tumor MR Segmentation

   University essay from KTH/Optimeringslära och systemteori

   Author : Hanna Westermark; [2021]
   Keywords : Deep learning; importance sampling; segmentation; convolutional neural networks; MRI; brain tumour; Djupinlärning; importance sampling; segmentering; faltningsnätverk; MRI; hjärntumör;

   Abstract : Segmentation of magnetic resonance images is an important part of planning radiotherapy treat-ments for patients with brain tumours but due to the number of images contained within a scan and the level of detail required, manual segmentation is a time consuming task. Convolutional neural networks have been proposed as tools for automated segmentation and shown promising results. READ MORE

6. 5. Improving Brain Tumor Segmentation using synthetic images from GANs

   University essay from Linköpings universitet/Statistik och maskininlärning

   Author : Aashana Nijhawan; [2021]
   Keywords : Image segmentation; Generative Adversarial Networks; GANs; Computer Vision; synthetic images; generator; discriminator; uncertainty estimation; deep neural networks; U-net; PGGAN;

   Abstract : Artificial intelligence (AI) has been seeing a great amount of hype around it for a few years but more so now in the field of diagnostic medical imaging. AI-based diagnoses have shown improvements in detecting the smallest abnormalities present in tumors and lesions. This can tremendously help public healthcare. READ MORE