no code implementations • 1 Mar 2024 • Maria Psyridou, Fabi Prezja, Minna Torppa, Marja-Kristiina Lerkkanen, Anna-Maija Poikkeus, Kati Vasalampi
The machine learning models developed in this study demonstrated notable classification ability, achieving a mean area under the curve (AUC) of 0. 61 with data up to Grade 6 and an improved AUC of 0. 65 with data up to Grade 9.
1 code implementation • 10 Nov 2023 • Fabi Prezja
Deep learning-based vision is characterized by intricate frameworks that often necessitate a profound understanding, presenting a barrier to newcomers and limiting broad adoption.
no code implementations • 10 Nov 2023 • Fabi Prezja, Leevi Annala, Sampsa Kiiskinen, Timo Ojala
Our study underscores the need for careful technique selection for improved model performance and identifying and managing potential confounding regions in radiographic KOA deep learning.
no code implementations • 10 Nov 2023 • Fabi Prezja, Leevi Annala, Sampsa Kiiskinen, Suvi Lahtinen, Timo Ojala
This approach led to two key outcomes: an increase in the initial accuracy of the pre-trained KOA models and a 60-fold reduction in the NAS input vector space, thus facilitating faster inference speed and a more efficient hyperparameter search.
no code implementations • 10 Nov 2023 • Fabi Prezja, Leevi Annala, Sampsa Kiiskinen, Suvi Lahtinen, Timo Ojala
Knee Osteoarthritis (KOA), a leading cause of disability worldwide, is challenging to detect early due to subtle radiographic indicators.
no code implementations • 25 Oct 2023 • Fabi Prezja, Leevi Annala, Sampsa Kiiskinen, Suvi Lahtinen, Timo Ojala, Pekka Ruusuvuori, Teijo Kuopio
However, recent research highlights the potential of convolutional neural networks (CNNs) in facilitating the extraction of clinically relevant biomarkers from these readily available images.
1 code implementation • Zenodo GitHub 2023 • Fabi Prezja
Keras GPT Copilot is the first Python package designed to integrate an LLM copilot within the model development workflow, offering iterative feedback options for enhancing the performance of your Keras deep learning models.
1 code implementation • Zenodo GitHub 2023 • Fabi Prezja
Deep Fast Vision is a versatile Python library for rapid prototyping of deep transfer learning vision models.