Image resolution vs sperm analysis using AI
Uncover the impact of image resolution on sperm analysis using machine learning! Dive into an experimental study that explores how video quality influences the accuracy of AI in predicting sperm motility and morphology.
Image resolution is a crucial factor in analyzing images using machine learning. In sperm analysis, we work with videos where tracking and identifying sperm can be challenging. Therefore, we need to conduct an experimental study to determine the impact of image resolution on the effectiveness of machine learning in predicting sperm motility, morphology, or both.
Goal
To determine the effect of image resolution on the accuracy of machine learning models in predicting sperm motility and morphology.
Learning outcome
- Sperm video analysis using computer vision
- Machine learning / AI
- Building proper research methodology for testing the effectiveness of input data resolution in the domain of sperm analysis
- Writing a scientific paper and how to publish it
Qualifications
- Hard working, motivated
- Fluent in Python programming
- Interested in learning
- (The rest can be learned during the thesis work)
Supervisors
- Vajira Thambawita
- På Halvorsen
- Michael Riegler
References
- Impact of Image Resolution on Deep Learning Performance in Endoscopy Image Classification: An Experimental Study Using a Large Dataset of Endoscopic Images (Example in GI-tract data)
