Assessment of hip joint arthrosis based on the X-ray images of adjacent bones
Engineering thesis focused on investigating the correlation between structural changes in bones surrounding the hip joint and the joint's degeneration.
Throughout the project, I applied various data normalization methods, image resizing techniques, convolutional neural networks (CNNs), and deep learning approaches to improve the accuracy of arthrosis classification.
Ultimately, I was able to show the correlation between the studied bone regions and hip osteoarthritis, which opens the door to diagnosing the condition without relying on direct imaging of the joint itself.
A scientific paper based on this thesis has been submitted to a biomedical conference and is currently under peer review.
CornHub: Instance-Segmentation dataset of corn cobs
CornHub is a dataset containing corn cobs and their corresponding masks captured in real field conditions. It includes 304 high-resolution RGB images.
It can be used for training and evaluating instance segmentation or object detection models in computer vision — particularly in agriculture — as well as in related scientific research.
The dataset is available via one of the following links:
Kaggle
PapersWithCode
BobRoss ProGAN
Generative neural network designed to create paintings in the style of Bob Ross. It is based on the Progressive-GAN architecture, which generates images by gradually increasing their resolution. The network was implemented from the scratch and was trained on the dataset of 5000 images, painted in the artist's style.
GitHub Link
NeuroUtils
Programming library focused on automating tasks and managing projects related to computer vision and deep learning.
GitHub Link
Cifar10 - human accuracy
Project focused on utilizing in practice the NeuroUtils library for project management.
It involved implementing a custom convolutional neural network (CNN) architecture and applying training optimization techniques to achieve 94% accuracy — matching the average human-level performance on the CIFAR-10 dataset.
