Essays about: "CT-Scans"

Showing result 16 - 20 of 43 essays containing the word CT-Scans.

  1. 16. GAN-based Automatic Segmentation of Thoracic Aorta from Non-contrast-Enhanced CT Images

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

    Author : Libo Xu; [2021]
    Keywords : Non-contrast-enhanced; Medical Image Segmentation; Image-to-image Translation; U-Net; Generative Adversarial Network; End-to-end; Two-stage;

    Abstract : The deep learning-based automatic segmentation methods have developed rapidly in recent years to give a promising performance in the medical image segmentation tasks, which provide clinical medicine with an accurate and fast computer-aided diagnosis method. Generative adversarial networks and their extended frameworks have achieved encouraging results on image-to-image translation problems. READ MORE

  3. 17. FE Modelling Of Two Femur Fixation Implants

    University essay from Linköpings universitet/Mekanik och hållfasthetslära

    Author : Ali Arsiwala; Vatsal Shukla; [2021]
    Keywords : FEM; Femur; Image Segmentation; Material Modelling; Recon Implant; Antegrade Implant; Atypical Femoral Fracture; Intermedullary Nail;

    Abstract : In the pool of women over the age of 50, the likeliness of an atypical fracture increase drastically, partly due to osteoporosis. With a pre-existing implant in the femur bone, inserted due to a prior atypical fracture, treating a later femoral neck fracture is complex and risky. READ MORE

  4. 18. Prediction of Dose Probability Distributions Using Mixture Density Networks

    University essay from KTH/Matematisk statistik

    Author : Viktor Nilsson; [2020]
    Keywords : Applied mathematics; machine learning; deep learning; mixture density network; dose planning; Tillämpad matematik; maskininlärning; djupinlärning; mixturdensitetsnätverk; dosplannerning;

    Abstract : In recent years, machine learning has become utilized in external radiation therapy treatment planning. This involves automatic generation of treatment plans based on CT-scans and other spatial information such as the location of tumors and organs. READ MORE

  5. 19. Classification of COVID-19 Using Synthetic Minority Over-Sampling and Transfer Learning

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Christian Ormos; [2020]
    Keywords : transfer learning; AI; machine learning; image recognition; image augmentation; covid-19; VGG; MobileNet; InceptionV3; SMOTE; k-nn;

    Abstract : The 2019 novel coronavirus has been proven to present several unique features on chest X-rays and CT-scans that distinguish it from imaging of other pulmonary diseases such as bacterial pneumonia and viral pneumonia unrelated to COVID-19. However, the key characteristics of a COVID-19 infection have been proven challenging to detect with the human eye. READ MORE

  6. 20. Using deep learning to remove computed tomography artifacts due to hip replacement

    University essay from Lunds universitet/Matematik LTH

    Author : Adelina Zahirovic; [2020]
    Keywords : Image analysis; Mathematics and Statistics;

    Abstract : Computed Tomography (CT) is the most common diagnostic method for cancer and prostate cancer is the most common cancer among men in Sweden. Some of the patients that get scanned have hip replacements that cause artifacts in CT scans that make the CT images unreadable for physicians. READ MORE