Sökning: "Xception"

Visar resultat 1 - 5 av 9 uppsatser innehållade ordet Xception.

  1. 1. Pre-classification of Hairy Cells Using Supervised Contrastive Learning

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Alexia Han; Rebecca Schömer Ericsson; [2022]
    Nyckelord :supervised contrastive learning; hairy cells; abnormal lymphocytes; deep learning; Cellavision; Xception; artificial neural network; convolutional neural networks; Mathematics and Statistics;

    Sammanfattning : Differential of the peripheral blood is an important tool when assessing blood-related diseases. Lymphocytes are part of the immune system and morphological changes thereof should raise attention. LÄS MER

  3. 2. Machine Learning Algorithm for Classification of Breast Ultrasound Images

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Jennie Karlsson; Jennifer Ramkull; [2021]
    Nyckelord :Technology and Engineering;

    Sammanfattning : Breast cancer is the most common type of cancer worldwide and the incidence is increasing. Women in low- and middle-income countries have a high mortality to incidence ratio mainly due to a lack of resources and organized health-care. LÄS MER

  4. 3. AI-based Age Estimation from Mammograms

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Dilukshi Charitha Subashini Dissanayake Dissanayake Lekamlage; Fabia Afzal; [2020]
    Nyckelord :Machine Learning; Mammograms; Image Segmentation; Deep Learning; Feature Extraction; Regression Analysis; Age Estimation;

    Sammanfattning : Background: Age estimation has attracted attention because of its various clinical and medical applications. There are many studies on human age estimation from biomedical images such as X-ray images, MRI, facial images, dental images etc. However, there is no research done on mammograms for age estimation. LÄS MER

  5. 4. AI-based Age Estimation using X-ray Hand Images : A comparison of Object Detection and Deep Learning models

    Kandidat-uppsats, Blekinge Tekniska Högskola/Fakulteten för datavetenskaper

    Författare :Erik Westerberg; [2020]
    Nyckelord :deep learning; object detection; bone age assessment;

    Sammanfattning : Bone age assessment can be useful in a variety of ways. It can help pediatricians predict growth, puberty entrance, identify diseases, and assess if a person lacking proper identification is a minor or not. It is a time-consuming process that is also prone to intra-observer variation, which can cause problems in many ways. LÄS MER

  7. 5. Prestandajämförelse mellan Xception, InceptionV3 och MobileNetV2 för bildklassificering på nätpaneler

    Kandidat-uppsats, Jönköping University/JTH, Datateknik och informatik

    Författare :Fleury Birindwa; [2020]
    Nyckelord :image classification; Machines Learning; deep learning; convolutional neural network; CNN; Xception; InceptionV3; MobilNetV2; artificial intelligence; AI; decision; bildklassificering; maskininlärning; djupinlärning; faltningsnätverk; Xception; InceptionV3; MobilNetV2; artificiell intelligens; AI; omdömen;

    Sammanfattning : Under de senaste året har modeller för djupinlärning använts inom nästa alla områden, från industri till akademi, särskilt för bildklassifikation. Dessa modeller är dock enorma i storlek, med miljontals parametrar, vilket gör det svårt att distribuera till mindre enheter med begränsade resurser såsom mobiltelefoner. LÄS MER