Sökning: "image augmentation"

Visar resultat 1 - 5 av 67 uppsatser innehållade orden image augmentation.

1. 1. Analyzing the Influence of Synthetic andAugmented Data on Segmentation Model

   Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Författare :Alex Peschel; [2023]
   Nyckelord :Artificial Intelligence; Microorganisms; Segmentation; Synthesizing; Augmentation;

   Sammanfattning : The field of Artificial Intelligence (AI) has experienced unprecedented growth in recent years, thanks to the numerous applications related to speech recognition, natural language processing, and computer vision. However, one of the challenges facing AI is the requirement for large amounts of energy, time, and data to be effective and accurate. LÄS MER

3. 2. Simulating metal ct artefacts for ground truth generation in deep learning.

   Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

   Författare :Arthur Barakat; [2023]
   Nyckelord :Technology and Engineering;

   Sammanfattning : CT scanning stands as one of the most employed imaging techniques used in clinical field. In the presence of metal implants in the field of view (FOV), distortions and noise appear on the 3D image leading to inaccurate bone segmentation, often required for surgery planning or implant design. LÄS MER

4. 3. 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

5. 4. Data Augmentations for Improving Vision-Based Damage Detection : in Land Transport Infrastructure

   Master-uppsats, KTH/Lantmäteri – fastighetsvetenskap och geodesi

   Författare :Punnawat Siripatthiti; [2023]
   Nyckelord :Computer Vision; Data Augmentation; Object Detection; Crack Detection; Road Damage Detection; Sleeper Defect Detection; datorseende; dataökning; objektdetektering; sprickdetektering; vägbeläggning; järnvägsslipers;

   Sammanfattning : Crack, a typical term most people know, is a common form of distress or damage in road pavements and railway sleepers. It poses significant challenges to their structural integrity, safety, and longevity. Over the years, researchers have developed various data-driven technologies for image-based crack detection in road and sleeper applications. LÄS MER

7. 5. Volumetric Image Segmentation of Lizard Brains

   Master-uppsats, KTH/Tillämpad fysik

   Författare :Yulia Dragunova; [2023]
   Nyckelord :image segmentation; deep learning; atlas; lizard brain; micro-CT; image augmentation; bild segmentering; djupinlärning; atlas; ödelhjärna; mikro-datortomagrofi; datautökning;

   Sammanfattning : Accurate measurement brain region volumes are important in studying brain plasticity, which brings insight into the fundamental mechanisms in animal, memory, cognitive, and behavior research. The traditional methods of brain volume measurements are ellipsoid or histology. LÄS MER