Essays about: "computer-aided medical diagnosis"

Showing result 1 - 5 of 8 essays containing the words computer-aided medical diagnosis.

  1. 1. Automated Interpretation of Lung Ultrasound for COVID-19 and Tuberculosis diagnosis

    University essay from Lunds universitet/Matematik LTH

    Author : Chloé Soormally; [2023]
    Keywords : Tuberculosis; COVID-19; Lung Ultrasound; Computer-aided detection CAD ; Deep learning; Technology and Engineering;

    Abstract : BACKGROUND. Early and accurate detection of infectious respiratory diseases like COVID-19 and tuberculosis (TB) plays a crucial role in effective management and the reduction of preventable mortality. READ MORE

  3. 2. 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

  4. 3. Evaluation of two CNN models, VGGNet-16 & VGGNet-19, for classification of Alzheimer’s disease in brain MRI scans

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

    Author : Tim Jonsson; Isabella Tapper; [2020]
    Keywords : ;

    Abstract : Computer-aided-diagnosis (CAD) emerged in the early 1950s and since then CAD has facilitated the diagnosing of many medical conditions and diseases. In particular, CADfor Alzheimer’s disease (AD) has been immensely researched the last decade thanks to advanced neuroimaging techniques such as magnetic resonance imaging (MRI) and positron emission tomography (PET). READ MORE

  5. 4. Polyp segmentation using artificial neural networks

    University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Author : Antoni Rodríguez Villegas; [2020]
    Keywords : Semantic segmentation; Polyp segmentation; Neural Networks; Computer Vision; ANN; FCN; Deep Learning; Colorectal cancer;

    Abstract : Colorectal cancer is the second cause of cancer death in the world. Aiming to early detect and prevent this type of cancer, clinicians perform screenings through the colon searching for polyps (colorectal cancer precursor lesions).If found, these lesions are susceptible of being removed in order to further ana-lyze their malignancy degree. READ MORE

  6. 5. Providing Mass Context to a Pretrained Deep Convolutional Neural Network for Breast Mass Classification

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

    Author : Lovisa Montelius; George Rezkalla; [2019]
    Keywords : Deep learning; Convolutional neural network; Transfer learning; Computer-aided diagnosis; Breast cancer; Breast mass classification; Breast mass context; ;

    Abstract : Breast cancer is one of the most common cancers among women in the world, and the average error rate among radiologists during diagnosis is 30%. Computer-aided medical diagnosis aims to assist doctors by giving them a second opinion, thus decreasing the error rate. READ MORE