Essays about: "Machine diagnostics"

Showing result 1 - 5 of 53 essays containing the words Machine diagnostics.

1. 1. A Machine Learning Approach on Analysis of Emission Spectra for Application in XFEL Experiments

   University essay from Uppsala universitet/Institutionen för fysik och astronomi

   Author : Harald Agelii; [2023]
   Keywords : Structural biology; Machine learning; Neural networks; emission spectrum; XFEL; X-ray free electron laser; SFX; Serial femtosecond X-ray crystallography; Proteins; Diagnostics;

   Abstract : In this thesis we investigate two potential applications of machine learning in the context of X-ray imaging and spectroscopy of biological samples, particularly such using X-ray free electron lasers (XFEL). We first investigate the possibility of using an emission spectrum, recorded from a sample after being probed by an incident X-ray, as a diagnostic tool. READ MORE

3. 2. Finding the QRS Complex in a Sampled ECG Signal Using AI Methods

   University essay from KTH/Fysik

   Author : Jeanette Marie Victoria Skeppland Hole; [2023]
   Keywords : ECG; ECG-analysis; QRS detector; Artificial Intelligence; Machine Learning; Deep neural networks; Long short-term memory; Convolutional neural network; Multilayer perceptron; EKG; EKG-analys; QRS detektor; Artificiell intelligens; Maskininlärning; Djupa neurala nätverk; Long short-term memory; Convolutional neural network; Multilayer perceptron;

   Abstract : This study aimed to explore the application of artificial intelligence (AI) and machine learning (ML) techniques in implementing a QRS detector forambulatory electrocardiography (ECG) monitoring devices. Three ML models, namely long short-term memory (LSTM), convolutional neural network (CNN), and multilayer perceptron (MLP), were compared and evaluated using the MIT-BIH arrhythmia database (MITDB) and the MIT-BIH noise stress test database (NSTDB). READ MORE

4. 3. Exploring Feature Selection Techniques for Machine Learning-based Melanoma Skin Cancer Classification

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

   Author : Thomas Eriksson Mueller; Viktor Fornstad; [2023]
   Keywords : Machine Learning; Feature Selection; Melanoma; Computer Aided Diagnosis; Bachelor Thesis; Maskininlärning; Attributurval; Melanom; Datorstödd Diagnostik; Kandidatarbete;

   Abstract : One of the most globally common types of cancer is skin cancer, where melanoma is the most deadly form. An important and promising tool for diagnosing diseases such as skin cancer is computer aided diagnostics, a tool which utilizes machine learning to predict and classify cancer. READ MORE

5. 4. Explainable Machine Learning in Cardiovascular Diagnostics

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

   Author : Alexander Gutell; Ludvig Skare; [2023]
   Keywords : ;

   Abstract : The major challenges in implementing machine learning models in medical applications stemfrom ethical and accountability concerns, which arise from the lack of insight and understandingof the models' inner workings and reasoning. This opaqueness has resulted in the emergenceof a new subfield of machine learning called Explainability, which aims to develop and deploymethods to gain insight into how input data is weighted and propagated through a machinelearning algorithm. READ MORE

6. 5. Determining Important Features for Melanoma Classification Through Feature Selection

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

   Author : Vilmer Jonsson; Tor Strimbold; [2023]
   Keywords : ;

   Abstract : Skin cancer is a common disease and malignant melanoma is the most dangerous form of it. Although dangerous, the survival rate of melanoma patients is high if the diagnosis is made at an early stage. Computer aided diagnostics has been shown to have potential in accurately diagnosing the disease utilizing machine learning. READ MORE