Essays about: "CNNs"

Showing result 1 - 5 of 131 essays containing the word CNNs.

  1. 1. Virtual H&E Staining Using PLS Microscopy and Neural Networks

    University essay from Lunds universitet/Matematik LTH

    Author : Sally Vizins; Hanna Råhnängen; [2024]
    Keywords : Deep learning; Virtual staining; Skin tissue; Hematoxylin Eosin; H E; Pathology; Carcinoma; Point light source illumination; Neural Networks; GANs; Generative adversarial networks; CNNs; Convolutional neural networks; Relativistic generative adversarial network; Unet; Digital microscopy; Attention-Unet; Dense-Unet; Mathematics and Statistics;

    Abstract : Histopathological examination, crucial in diagnosing diseases such as cancer, traditionally relies on time- and resource-consuming, poorly standardized chemical staining for tissue visualization. This thesis presents a novel digital alternative using generative neural networks and a point light source (PLS) microscope to transform unstained skin tissue images into their stained counterparts. READ MORE

  3. 2. Classifying femur fractures using federated learning

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Hong Zhang; [2024]
    Keywords : Atypical femur fracture; Federated Learning; Neural Network; Classification;

    Abstract : The rarity and subtle radiographic features of atypical femoral fractures (AFF) make it difficult to distinguish radiologically from normal femoral fractures (NFF). Compared with NFF, AFF has subtle radiological features and is associated with the long-term use of bisphosphonates for the treatment of osteoporosis. READ MORE

  4. 3. Neural Network-based Anomaly Detection Models and Interpretability Methods for Multivariate Time Series Data

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Deepthy Prasad; Swathi Hampapura Sripada; [2023]
    Keywords : multivariate - time series; anomaly detection; neural networks; autoencoders; interpretability; counterfactuals;

    Abstract : Anomaly detection plays a crucial role in various domains, such as transportation, cybersecurity, and industrial monitoring, where the timely identification of unusual patterns or outliers is of utmost importance. Traditional statistical techniques have limitations in handling complex and highdimensional data, which motivates the use of deep learning approaches. READ MORE

  5. 4. Image-classification for Brain Tumor using Pre-trained Convolutional Neural Network

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

    Author : Bushra Alsabbagh; [2023]
    Keywords : Brain tumor; Deep learning; Convolutional Neural Network CNN ; diagnosis; Image classification; pre-trained models; dataset; economic impact.; Cancer; Hjärntumör; Artificiell intelligens AI ; djupinlärning; konvolutionellt neuralt nätverk CNN ; Diagnostik; Bildklassificering; förtränade modeller; dataset.;

    Abstract : Brain tumor is a disease characterized by uncontrolled growth of abnormal cells in the brain. The brain is responsible for regulating the functions of all other organs, hence, any atypical growth of cells in the brain can have severe implications for its functions. READ MORE

  6. 5. A deep learning approach for drilling tool condition monitoring in Raiseboring

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Hedaya Alyousif; [2023]
    Keywords : drilling tool condition; deep learning; drilling signals; CNN; spectrogram; Raisboring;

    Abstract : Drilling tool wear can significantly affect the performance of the drilling operation and add extra cost to it. Accurate detection of drilling tool condition is very important for enabling proactive maintenance, minimizing downtime, and optimizing drilling processes. READ MORE