Automatic Classification of Spinal Injuries Using Machine Learning

Bibliographic Details
Main Author:	Szigeti Mark Bence
Other Authors:	Horváth András
Format:	Manuscript essay
Published:	2024-01-30
Online Access:	https://diplomamunka.ppke.hu/20050

Similar Items

Audio Signal Classification with Machine Learning Techniques using the Mel-scale Spectogram
by: Tóth Máté
Published: (2011)

Automatic organ segmentation for MR images using deep learning techniques
by: Kolozsvári Bernadett
Published: (2015)

Building a Comprehensive Brain Tumor Classification System with Slicer and Machine Learning
by: Zelei Regina Réka
Published: (2024)

Orchestrating and Designing Machine Learning Microservices
by: Pető Márk
Published: (2021)

Crop disease diagnose using classification based on feature-based methods and Deep Learning
by: Prada González Andrés
Published: (2019)

Machine learning based time-series classification of single-cell label-free optical biosensor data
by: Sztilkovics Milán Ferenc
Published: (2014)

Hyperparameter Tuning in Machine Learning
by: Dabool Hamzah
Published: (2022)

Self-supervised Deep Learning for Image Classification
by: Tushar Zahid Hassan
Published: (2021)

Developing machine learning algorithms for geophysical applications
by: Szigethy Virág
Published: (2024)

Analysis of deep learning techniques for ROP fundus classification
by: Banno Husam Francis Kiryaqos
Published: (2014)

Categorization of marine organisms detected by seal-borne active acoustic loggers (microsonars) using machine learning methods
by: Aitu Baglan
Published: (2022)

Classification of motor imagery EEG signals using neural networks
by: Nagy Nikoletta
Published: (2024)

Estimating board game balance and replayability with machine learning
by: Balogh Zsófia
Published: (2014)

Machine learning principles in the neural mechanisms of the cerebral cortex
by: Kertész Borbála
Published: (2021)

Logo detection and verification with machine learning for document analysis
by: Cajas Ordonez Sebastian Andres
Published: (2022)

Deep Learning based methods fo data classification in sensor networks
by: Bagdi Richárd Mózes
Published: (2014)

Deep learning based holographic microscope image focusing and object classification
by: Angi Péter
Published: (2022)

Meta and few-shot learning for microbiome based predictive disease classification
by: Molnár Zsófia
Published: (2023)

Machine Learning Models for Mixed Speech Music Audio Data
by: Bálint Hunor Ferenc
Published: (2024)

Data processing of measurements collected in IoT systems with machine learning
by: Özdemir Övgü
Published: (2016)

Detection of motor activities from electrophysiological data with machine learning
by: Szász Dorottya
Published: (2019)

Brain-computer interface system development with machine learning algorithms
by: Eftimiu Nikomidisz
Published: (2015)

Data Analysis and Machine Learning for Speech-Music Playlist generation
by: Khorani Maikey Zaki Bia
Published: (2015)

Machine learning alapú ajánló rendszer fejlesztése röntgen szoftverhez
by: Volkov Krisztián
Published: (2021)

Crop Diagnose Using Deep Learning Techniques
by: Rarís Miralles Sara
Published: (2019)

Sensory robotic applications using deep learning
by: Nagy Dániel Zoltán
Published: (2022)

Enhancing 360° VR Experiences with Machine Learning-based Multisensorial Effects
by: Szabó Péter József
Published: (2021)

Control of a human hand-like model with the help of machine learning
by: Schäffer Katalin
Published: (2014)

Link prediction in protein-protein interaction networks using graph embedding-based topological information and a generative adversarial network machine learning model
by: Balogh Olivér Márton
Published: (2022)

Pathomechanism of intestinal ischemia/reperfusion injury and its potential therapeutic targets
by: Hegyes Tamás
Published: (2014)

Video Captioning Using Novel Deep Learning Architecture
by: Nurye Desale Fentaw
Published: (2021)

Automatic organ detection and segmentation
by: Tóth Bonifác Olivér
Published: (2016)

Classification of Motor Imagery EEG using Signals-to-Image transformation for Brain Computer Interface Systems
by: Hanna Sameh Adly Amin
Published: (2021)

Increasing the efficiency of machine learning methods utilized in brain computer interface systems
by: Adolf András
Published: (2012)

Development of machine learning tools for the reconstruction of muscle movements from electrophysiological data
by: Eftimiu Nikomidisz Jorgosz
Published: (2022)

Differences in foot pressure parameters in gait patterns of able-bodied and spinal cord injured subjects
by: Vecsera Hanna
Published: (2024)

Development of Brain-Computer Interfaces by using Deep Learning Technologies
by: Köllőd Csaba Márton
Published: (2024)

Preventing blindness by analysing fundus images using deep learning
by: Sheer Nawar Faris Bayya
Published: (2014)

Camera-Based Pulse Monitoring Using Deep Learning Tools
by: Terbe Dániel
Published: (2014)

Automatic Typography Analysis on Figurative Content
by: Wasim Syed Talal
Published: (2021)