The medical image analysis field is developing day by day, and segmenting organs, diseases, or abnormalities is a challenging task to complete. Dental disease diagnosis is a field where image segmentation can help gain significant improvements as dentists worldwide face various problems in diagnosing dental diseases with the naked eye. A deep neural network, U-net, was created for biomedical image segmentation and had multiple variations and advancements to serve better performance. This research will explore variants of U-net models for medical image segmentation and study their performance.
Medical Imaging
Data Science
Deep Learning
In further higher studies. Such as M.Sc./Ph.D.
Python
Deep Learning
Image processing
Dataset
https://link.springer.com/article/10.1007/s11760-023-02528-9
https://link.springer.com/article/10.1007/s11760-023-02528-9
https://paperswithcode.com/task/medical-image-segmentation/codeless?page=4&q=
