Advanced search

Showing result 1 - 5 of 8 essays matching the above criteria.

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

    University essay from Lunds universitet/Matematik LTH

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

    Abstract : 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. READ MORE

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

    University essay from Lunds universitet/Matematik LTH

    Author : Jennie Karlsson; Jennifer Ramkull; [2021]
    Keywords : Technology and Engineering;

    Abstract : 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. READ MORE

  4. 3. AI-based Age Estimation from Mammograms

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

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

    Abstract : 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. READ MORE

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

    University essay from Blekinge Tekniska Högskola/Fakulteten för datavetenskaper

    Author : Erik Westerberg; [2020]
    Keywords : deep learning; object detection; bone age assessment;

    Abstract : 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. READ MORE

  6. 5. Adaptive Reference Images for Blood Cells using Variational Autoencoders and Self-Organizing Maps

    University essay from Lunds universitet/Matematik LTH

    Author : Oscar Odestål; Anna Palmqvist Sjövall; [2020]
    Keywords : Image Analysis; Variational Autoencoder; Self-Organizing Maps; Deep Learning; Machine Learning; Microscopy; CellaVision; Microscope; Neural Networks; Blood Cells; White Blood Cells; Image Classification; Data Visualization; Clustering; Latent Space; Unsupervised Learning; Dimensionality Reduction; SOM; VAE; Mathematics and Statistics;

    Abstract : CellaVision develops automated microscopy for blood analysis. Their products can pre-classify 19 different types of white blood cells and support the medical technologist performing the final classification. CellaVision provides reference cells. READ MORE