Sökning: "Multi-label classification"

Visar resultat 16 - 20 av 28 uppsatser innehållade orden Multi-label classification.

1. 16. Deep Learning Based Multi-Label Classification of Radiotherapy Target Volumes for Prostate Cancer

   Master-uppsats, KTH/Medicinteknik och hälsosystem

   Författare :Lina Welander; [2019]
   Nyckelord :Multi-label classification; MIQA; INCA; Deep neural network;

   Sammanfattning : An initiative to standardize the nomenclature in Sweden started in 2016 along with the creation of the local database Medical Information Quality Archive (MIQA) and a national radiotherapy register on Information Network for CAncercare (INCA). A problem of identifying the clinical tumor volume (CTV) structures and prescribed dose arose when the consecutive number, which is added to the CTV-name, was made inconsistently in MIQA and INCA. LÄS MER

3. 17. Multilabel text classification of public procurements using deep learning intent detection

   Master-uppsats, KTH/Matematisk statistik

   Författare :Adin Suta; [2019]
   Nyckelord :Natural language processing; text classification; deep learning; applied mathematics; recurrent neural network; word embedding; Maskininlärning; textklassificering; artificiella neruonnät; tillämpad matematik;

   Sammanfattning : Textual data is one of the most widespread forms of data and the amount of such data available in the world increases at a rapid rate. Text can be understood as either a sequence of characters or words, where the latter approach is the most common. LÄS MER

4. 18. Deep Learning-based Lung Triage for Streamlining the Workflow of Radiologists

   Magister-uppsats, Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakulteten

   Författare :Michaela Rabenius; [2019]
   Nyckelord :Deep learning; Convolutional neural networks; Medical Imaging; Neural networks; Artificial intelligence; Image analysis; Radiographic images; Radiology;

   Sammanfattning : The usage of deep learning algorithms such as Convolutional Neural Networks within the field of medical imaging has grown in popularity over the past few years. In particular, these types of algorithms have been used to detect abnormalities in chest x-rays, one of the most commonly performed type of radiographic examination. LÄS MER

5. 19. Investigating the use of multi-label classification methods for the purpose of classifying electromyographic signals

   Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

   Författare :Petter Björklund; [2018]
   Nyckelord :Biomedical engineering; Statistical classification; Prosthetics; Technology and Engineering;

   Sammanfattning : The type of pattern recognition methods used for controlling modern prosthetics, referred to here as single-label classification methods, restricts users to a small amount of movements. One prominent reason for this is that the accuracy of these classification methods decreases as the number of allowed movements is increased. LÄS MER

7. 20. Deep Text Mining of Instagram Data Without Strong Supervision

   Master-uppsats, KTH/Programvaruteknik och datorsystem, SCS

   Författare :Kim Hammar; [2018]
   Nyckelord :Natural Language Processing; Information Extraction; Machine Learning; Språkteknologi; Informationsextraktion; Maskinlärning;

   Sammanfattning : With the advent of social media, our online feeds increasingly consist of short, informal, and unstructured text. This data can be analyzed for the purpose of improving user recommendations and detecting trends. LÄS MER