Essays about: "automatic segmentation"

Showing result 1 - 5 of 141 essays containing the words automatic segmentation.

  1. 1. Automatic 3D Segmentation in CT images of Congenital Heart Defects using Deep Learning

    University essay from Lunds universitet/Matematik LTH

    Author : Matilda Dahlström; [2022]
    Keywords : Technology and Engineering;

    Abstract : 3D segmentations of hearts with congenital heart defects are routinely used today. They are used to study hearts and to prepare before surgery which makes them an important part of patient care. The 3D segmentations are usually created manually, which is a time-consuming process. READ MORE

  3. 2. Locating power lines in satellite images with semantic segmentation

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Erik Lundman; [2022]
    Keywords : AI; Machine learning; Semantic segmentation; Power lines; Satellite images;

    Abstract : The inspection of power lines is an important process to maintain a stable electrical infrastructure. Simultaneously it is very time consuming task considering there are 164 000 km of power lines in Sweden alone. A cheaper and more sustainable approach is an automatic inspection with drones. READ MORE

  4. 3. A Deep Learning Based Approach to Object Recognition from LiDAR Data Along Swedish Railroads

    University essay from KTH/Fastigheter och byggande

    Author : Egil Morast; [2022]
    Keywords : Deep learning; DGCNN; LiDAR; Object recognition; Railroad; Automatisation; Sweden; Point cloud; Djupinlärning; DGCNN; LiDAR; Objektigenkänning; Järnväg; Automatisering; Sverige; Punktmoln;

    Abstract : Malfunction in the overhead contact line system is a common cause of disturbances in the train traffic in Sweden. Due to the preventive methods being inefficient, the Swedish Transport Administration has stated the need to develop the railroad maintenance services and has identified Artificial Intelligence (AI) as an important tool for this undertaking. READ MORE

  5. 4. Automatic Podcast Chapter Segmentation : A Framework for Implementing and Evaluating Chapter Boundary Models for Transcribed Audio Documents

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

    Author : Adam Feldstein Jacobs; [2022]
    Keywords : Machine Learning; Natural Language Processing; Speech Technology; Deep Learning; Podcast Segmentation; Maskininlärning; Språkteknologi; Djupinlärning; Podcast Segmentation;

    Abstract : Podcasts are an exponentially growing audio medium where useful and relevant content should be served, which requires new methods of information sorting. This thesis is the first to look into the state-of-art problem of segmenting podcasts into chapters (structurally and topically coherent sections). READ MORE

  6. 5. Automatic Annotation of Speech: Exploring Boundaries within Forced Alignment for Swedish and Norwegian

    University essay from Uppsala universitet/Institutionen för lingvistik och filologi

    Author : Klaudia Biczysko; [2022]
    Keywords : forced alignment; automatic speech recognition; ASR; natural language processing; under-resourced languages; Swedish; Norwegian; CTC segmentation; wav2vec2; kaldi; HTK; dynamic time warping;

    Abstract : In Automatic Speech Recognition, there is an extensive need for time-aligned data. Manual speech segmentation has been shown to be more laborious than manual transcription, especially when dealing with tens of hours of speech. READ MORE