Essays about: "VGG"

Showing result 1 - 5 of 25 essays containing the word VGG.

  1. 1. Image-classification for Brain Tumor using Pre-trained Convolutional Neural Network

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

    Author : Bushra Alsabbagh; [2023]
    Keywords : Brain tumor; Deep learning; Convolutional Neural Network CNN ; diagnosis; Image classification; pre-trained models; dataset; economic impact.; Cancer; Hjärntumör; Artificiell intelligens AI ; djupinlärning; konvolutionellt neuralt nätverk CNN ; Diagnostik; Bildklassificering; förtränade modeller; dataset.;

    Abstract : Brain tumor is a disease characterized by uncontrolled growth of abnormal cells in the brain. The brain is responsible for regulating the functions of all other organs, hence, any atypical growth of cells in the brain can have severe implications for its functions. READ MORE

  3. 2. Improved U-Net architecture for Crack Detection in Sand Moulds

    University essay from Högskolan i Gävle/Datavetenskap

    Author : Husain Ahmed; Hozan Bajo; [2023]
    Keywords : U-Net Architecture; Semantic Segmentation; Convolutional Neural Networks; Crack Detection;

    Abstract : The detection of cracks in sand moulds has long been a challenge for both safety and maintenance purposes. Traditional image processing techniques have been employed to identify and quantify these defects but have often proven to be inefficient, labour-intensive, and time-consuming. READ MORE

  4. 3. The impact of pruning Convolutional Neural Networks when classifying skin cancer

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

    Author : Gustaf Larsson; Marcus Odin; [2023]
    Keywords : ;

    Abstract : Over the past few years, there have been multiple reports showcasing how Convolutional Neural Networks (CNNs) can be used to classify if skin lesions are cancerous or non-cancerous. However, a limitation of CNNs is the large number of parameters resulting in high computation times. READ MORE

  5. 4. Image-Based Classification Solutions for Robust Automated Molecular Biology Labs

    University essay from KTH/Medicinteknik och hälsosystem

    Author : Arnold Teo; [2023]
    Keywords : Neural networks; Deep learning; Transfer learning; TensorFlow; Single-cell genomics; Image classification; Neurala nätverk; Djupinlärning; Överförd inlärning; TensorFlow; Enskild cellgenomik; Bildklassificering;

    Abstract : Single-cell genomics (SCG) are methods for investigating heterogeneity between biological cells, among these is Smart-seq which sequences from RNA molecules. A more recent version of this method is Smart-seq3xpress which is currently in the process of being automated by the Sandberg lab at Karolinska Institutet. READ MORE

  6. 5. Vitiligo image classification using pre-trained Convolutional Neural Network Architectures, and its economic impact on health care

    University essay from KTH/Hälsoinformatik och logistik

    Author : Nour Bashar; MRami Alsaid Suliman; [2022]
    Keywords : Vitiligo; deep CNN architectures; Image classification; pre-trained models; dataset; AUC; economic impact.; Vitiligo; djupa CNN-arkitekturer; bildklassificering; förtränade modeller; dataset; AUC; ekonomisk påverkan.;

    Abstract : Vitiligo is a skin disease where the pigment cells that produce melanin die or stop functioning, which causes white patches to appear on the body. Although vitiligo is not considered a serious disease, there is a risk that something is wrong with a person's immune system. READ MORE