Sökning: "Test Time Augmentation"

Visar resultat 1 - 5 av 16 uppsatser innehållade orden Test Time Augmentation.

  1. 1. Automatic Detection of Tumour Infiltrating Lymphocytes in Breast Cancer Whole Slide Images

    Magister-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Laureanne Antoinette Josephine Brechje Geraldine van Dijk; Tara Helena Irene de Groot; [2023]
    Nyckelord :Lymphocytes; Image Processing; Computer-Assisted; Pathology; Deep Learning; Artificial Intelligence; Breast Neoplasms;

    Sammanfattning : Cancer is one of the most common diseases this century, with breast cancer being the most common form. Pathological examination is used to detect and quantify Tumour-infiltrating lymphocytes (TILs) in breast cancer Whole Slide Images (WSIs), which can be done manually or automatically. LÄS MER

  3. 2. Deep convolution neural network for attention decoding in multi-channel EEG with conditional variational autoencoder for data augmentation

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

    Författare :M Asjid Tanveer; [2023]
    Nyckelord :Technology and Engineering;

    Sammanfattning : Objectives: This project aims to develop a deep learning-based attention decoding system that can distinguish between noise and speech in noise and also identify the direction of attended speech from the brain data recorded with electroencephalography (EEG) instruments. Two deep convolutional neural network (DCNN) models will be designed: (1) one DCNN model capable of classifying incoming segments of sound as speech or speech in background noise, and (2) one DCNN model identifying the direction (left vs. LÄS MER

  4. 3. Uncertainty Estimation in Volumetric Image Segmentation

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Donggyun Park; [2023]
    Nyckelord :Uncertainty Estimation; Uncertainty Quantification UQ ; Volumetric Image Segmentation; 3D U-Net; test-time data augmentation; Deep ensemble;

    Sammanfattning : The performance of deep neural networks and estimations of their robustness has been rapidly developed. In contrast, despite the broad usage of deep convolutional neural networks (CNNs)[1] for medical image segmentation, research on their uncertainty estimations is being far less conducted. LÄS MER

  5. 4. Radar Detection Using Deep Learning

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Ziliang Xiong; Leonardo Carrera; [2022]
    Nyckelord :Deep Learning; Autonomous Driving; Radar; Point Cloud; Technology and Engineering;

    Sammanfattning : This thesis aims to reproduce and improve a paper about dynamic road user detection on 2D bird's-eye-view radar point cloud in the context of autonomous driving. We choose RadarScenes, a recent large public dataset, to train and test deep neural networks. LÄS MER

  7. 5. Techniques for Multilingual Document Retrieval for Open-Domain Question Answering : Using hard negatives filtering, binary retrieval and data augmentation

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Carlos Lago Solas; [2022]
    Nyckelord :OpenQA; Multilingual Transformers; Document retrieval; Data augmentation.; OpenQA; Flerspråkiga Transformatorer; Dokumenthämtning; Dataförstärkning.;

    Sammanfattning : Open Domain Question Answering (OpenQA) systems find an answer to a question from a large collection of unstructured documents. In this information era, we have an immense amount of data at our disposal. However, filtering all the content and trying to find the answers to our questions can be too time-consuming and ffdiicult. LÄS MER