Essays about: "Deep learning on medical images"

Showing result 1 - 5 of 86 essays containing the words Deep learning on medical images.

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. Improving echocardiogram view classification using diffusion models

   University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

   Author : Luis Arevalo; Anouka Ranby; [2023-10-23]
   Keywords : Computer; science; computer science; engineering; project; artificial intelligence; machine learning; deep neural networks; diffusion models; synthetic data; echocardiogram classification;

   Abstract : In the field of medical science datasets are often highly imbalanced, where rare datapoints are of high importance. This study aims to explore the usage of synthetic datasets to improve the classification of echocardiogram views. READ MORE

5. 4. Automated Interpretation of Lung Ultrasound for COVID-19 and Tuberculosis diagnosis

   University essay from Lunds universitet/Matematik LTH

   Author : Chloé Soormally; [2023]
   Keywords : Tuberculosis; COVID-19; Lung Ultrasound; Computer-aided detection CAD ; Deep learning; Technology and Engineering;

   Abstract : BACKGROUND. Early and accurate detection of infectious respiratory diseases like COVID-19 and tuberculosis (TB) plays a crucial role in effective management and the reduction of preventable mortality. READ MORE

6. 5. Deep Learning-based Regularizers for Cone Beam Computed Tomography Reconstruction

   University essay from KTH/Matematisk statistik

   Author : Sabina Syed; Josefin Stenberg; [2023]
   Keywords : Adversarial Convex Regularization; Computer Vision; Cone Beam Computed Tomography; Convolutional Neural Networks; Deep Learning; Image Reconstruction; Adversarial Convex Regularization; Bildrekonstruktion; Datorseende; Djupinlärning; Faltningsnätverk; Volymtomografi;

   Abstract : Cone Beam Computed Tomography is a technology to visualize the 3D interior anatomy of a patient. It is important for image-guided radiation therapy in cancer treatment. During a scan, iterative methods are often used for the image reconstruction step. READ MORE