Sökning: "diagnostic classifier"

Visar resultat 1 - 5 av 13 uppsatser innehållade orden diagnostic classifier.

  1. 1. Uncertainty Quantification in Deep Learning for Breast Cancer Classification in Point-of-Care Ultrasound Imaging

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Marisa Wodrich; [2024]
    Nyckelord :Uncertainty quantification; Deep learning; Breast cancer classification; Trustworthy AI; Point-of-care ultrasound; Mathematics and Statistics;

    Sammanfattning : Breast cancer is the most common type of cancer worldwide with an estimate of 2.3 million new cases in 2020, and the number one cause of cancer-related deaths in women. LÄS MER

  3. 2. Unsupervised Detection of Interictal Epileptiform Discharges in Routine Scalp EEG : Machine Learning Assisted Epilepsy Diagnosis

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen Vi3

    Författare :Shuai Shao; [2023]
    Nyckelord :EEG; electroencephalography; IED; interictal epileptiform discharges; spike detection; epilepsy; unsupervised; Fourier transform; STFT; short-time Fourier transform; CWT; continuous wavelet transform; DWT; discrete wavelet transform; ML; machine learning; ANN; artificial neural network; CNN; convolutional neural network; autoencoder; HMM; hidden Markov model; ECS; Euclidean distance of cumulative spectrum;

    Sammanfattning : Epilepsy affects more than 50 million people and is one of the most prevalent neurological disorders and has a high impact on the quality of life of those suffering from it. However, 70% of epilepsy patients can live seizure free with proper diagnosis and treatment. Patients are evaluated using scalp EEG recordings which is cheap and non-invasive. LÄS MER

  4. 3. CHILLER DIAGNOSTICS Machine learning approach Carrier

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

    Författare :Vilius Koegst; Tatiana Orlova; [2022]
    Nyckelord :Technology and Engineering;

    Sammanfattning : Chillers are large and complex machines that are used for temperature regulation in large buildings and plants. An undetected fault in the machine can lead to extended downtime and cause both great financial losses and increased environmental impact. LÄS MER

  5. 4. A comparison between fully-supervised and self-supervised deep learning methods for tumour classification in digital pathology data

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Elsa Jonsson; [2022]
    Nyckelord :AI; machine learning; digital pathology data; binary tumour classification;

    Sammanfattning : Whole Slide Images (WSIs) are digital scans containing rich pathology information. There are many available WSI datasets that can be used for a wide range of purposes such as diagnostic tasks and analysis, but the availability of labeled WSI datasets is very limited since the annotation process is both very costly and time consuming. LÄS MER

  7. 5. Assessing BERT-Style Models' Abilities to Learn the Number of a Subject

    Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

    Författare :Laura Januleviciute; [2022]
    Nyckelord :diagnostic classifier; subject number; linguistically-informed interpretability; Lithuanian; English; BERT; WikiBERT; mBERT;

    Sammanfattning : There is an increasing interest in using deep neural networks in various downstream natural language processing tasks. Such models are commonly used as black boxes, meaning that their decision-making is difficult to interpret. In order to build trust in models, it is crucial to analyse their inner workings which lead to predictions. LÄS MER