Essays about: "segmentation"

Showing result 1 - 5 of 578 essays containing the word segmentation.

  1. 1. ATLAS DATABASES OF HUMAN BRAIN ANATOMY: QUALITATIVE AND QUANTITATIVE COMPARISON

    University essay from

    Author : Amanda Philipsson Franzén; [2021-01-11]
    Keywords : Medical physics; Brain atlas concordance problem; Quantitative comparison; Qualitative comparison; Hammersmith; 2012 MICCAI Multi-Atlas Labelling Challenge Data;

    Abstract : The purpose of this study was to quantitatively and qualitatively compare the two brain atlases databases, Hammersmith and 2012 MICCAI Multi-Atlas Labelling Challenge data, by developing a quantitative method.TheoryAnatomical atlases of the human brain provide reference information about its structure. READ MORE

  2. 2. Deep Learning with Importance Sampling for Brain Tumor MR Segmentation

    University essay from KTH/Optimeringslära och systemteori

    Author : Hanna Westermark; [2021]
    Keywords : Deep learning; importance sampling; segmentation; convolutional neural networks; MRI; brain tumour; Djupinlärning; importance sampling; segmentering; faltningsnätverk; MRI; hjärntumör;

    Abstract : Segmentation of magnetic resonance images is an important part of planning radiotherapy treat-ments for patients with brain tumours but due to the number of images contained within a scan and the level of detail required, manual segmentation is a time consuming task. Convolutional neural networks have been proposed as tools for automated segmentation and shown promising results. READ MORE

  3. 3. Operational data extraction using visual perception

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

    Author : Nagarajan Shunmugam; [2021]
    Keywords : Visual perception; camera; convolutional neural networks; classification; object detection; semantic segmentation; depth estimation; gradient descent with restarts; cosine annealing.; Visuell uppfattning; kamera; neurologiska nätverk; klassificering; objektdetektering; semantisk segmentering; djupberäkning; gradientnedstigning med omstart; cosinusglödgning.;

    Abstract : The information era has led the manufacturer of trucks and logistics solution providers are inclined towards software as a service (SAAS) based solutions. With advancements in software technologies like artificial intelligence and deep learning, the domain of computer vision has achieved significant performance boosts that it competes with hardware based solutions. READ MORE

  4. 4. Real-time hand segmentation using deep learning

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

    Author : Federico Favia; [2021]
    Keywords : Hand Segmentation; Semantic Segmentation; Deep Learning; Convolutional Neural Networks; Real-time; Augmented Reality; Embedded Devices; Dataset; Transfer Learning; Handsegmentering; Semantisk Segmentering; Djupinlärning; Konvolutionsneurala Nätverk; Realtid; Förstärkt Verklighet; Inbäddade Enheter; Datauppsättning; Transferlärning;

    Abstract : Hand segmentation is a fundamental part of many computer vision systems aimed at gesture recognition or hand tracking. In particular, augmented reality solutions need a very accurate gesture analysis system in order to satisfy the end consumers in an appropriate manner. Therefore the hand segmentation step is critical. READ MORE

  5. 5. Data Segmentation Using NLP: Gender and Age

    University essay from Uppsala universitet/Avdelningen för datalogi; Uppsala universitet/Avdelningen för datalogi

    Author : Gustav Demmelmaier; Carl Westerberg; [2021]
    Keywords : Natural language processing; NLP; sentiment analysis; machine learning; demographics; demographic factors; gender; age; ethics;

    Abstract : Natural language processing (NLP) opens the possibilities for a computer to read, decipher, and interpret human languages to eventually use it in ways that enable yet further understanding of the interaction and communication between the human and the computer. When appropriate data is available, NLP makes it possible to determine not only the sentiment information of a text but also information about the author behind an online post. READ MORE