Essays about: "Faltningsnätverk"

Showing result 16 - 20 of 77 essays containing the word Faltningsnätverk.

  1. 16. Finding Corresponding Regions In Different Mammography Projections Using Convolutional Neural Networks

    University essay from Linköpings universitet/Institutionen för medicinsk teknik

    Author : Emil Eriksson; [2022]
    Keywords : Machine Learning; Convolutional Neural Network; U-net; Mammography; Corresponding Regions; MLO and CC; Medical Image Processing;

    Abstract : Mammography screenings are performed regularly on women in order to detect early signs of breast cancer, which is the most common form of cancer. During an exam, X-ray images (called mammograms) are taken from two different angles and reviewed by a radiologist. READ MORE

  3. 17. Expressive Automatic Music Transcription : Using hard onset detection to transcribe legato slurs for violin

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

    Author : Simon Falk; [2022]
    Keywords : Automatic Music Transcription; Signal Processing; Convolutional Neural Networks; Onset Detection; Music Information Retrieval; Automatisk musiktranskription; Signalbearbetning; Faltningsnätverk; Ansatsdetektion; Informationssökning av musik;

    Abstract : Automatic Music Transcriptions systems such as ScoreCloud aims to convert audio signals to sheet music. The information contained in sheet music can be divided into increasingly descriptive layers, where most research on Automatic Music Transcription is restricted on note-level transcription and disregard expressive markings such as legato slurs. READ MORE

  4. 18. 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

  5. 19. Deep Active Learning for Image Classification using Different Sampling Strategies

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

    Author : Shahin Saleh; [2021]
    Keywords : Convolutional Neural Network; Deep Active Learning; Deep Learning; Image Classification; Sampling Strategies; SemiSupervised Learning.; Bildklassificering; Faltningsnätverk; Deep Active Learning; Djupinlärning; Semiövervakat lärande; Urvalsstrategier.;

    Abstract : Convolutional Neural Networks (CNNs) have been proved to deliver great results in the area of computer vision, however, one fundamental bottleneck with CNNs is the fact that it is heavily dependant on the ground truth, that is, labeled training data. A labeled dataset is a group of samples that have been tagged with one or more labels. READ MORE

  6. 20. Parameter Estimation of LPI Radar in Noisy Environments using Convolutional Neural Networks

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

    Author : Filip Appelgren; [2021]
    Keywords : Deep Learning; LPI; Radar; CNN; Parameter estimation; Djupinlärning; LPI; Radar; Faltningsnätverk; Parameterestimering;

    Abstract : Low-probability-of-intercept (LPI) radars are notoriously difficult for electronic support receivers to detect and identify due to their changing radar parameters and low power. Previous work has been done to create autonomous methods that can estimate the parameters of some LPI radar signals, utilizing methods outside of Deep Learning. READ MORE