Continual learning in medical imaging analysis: A comprehensive review of recent advancements...

[PDF] arxiv.org

Fairness Evolution in Continual Learning for Medical Imaging

M Ceccon, DD Pezze, A Fabris, GA Susto - arXiv preprint arXiv …, 2024 - arxiv.org
Deep Learning (DL) has made significant strides in various medical applications in recent
years, achieving remarkable results. In the field of medical imaging, DL models can assist …
相关文章 所有 2 个版本
[PDF] arxiv.org

Characterizing Continual Learning Scenarios and Strategies for Audio Analysis

R Bhatt, P Kumari, D Mahapatra, AE Saddik… - arXiv preprint arXiv …, 2024 - arxiv.org
Audio analysis is useful in many application scenarios. The state-of-the-art audio analysis
approaches assume that the data distribution at training and deployment time will be the …
相关文章 所有 2 个版本
[PDF] arxiv.org

Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark

M Ceccon, DD Pezze, A Fabris, GA Susto - arXiv preprint arXiv …, 2024 - arxiv.org
Multi-label image classification in dynamic environments is a problem that poses significant
challenges. Previous studies have primarily focused on scenarios such as Domain …
相关文章 所有 2 个版本
[PDF] arxiv.org

Confidence-Based Task Prediction in Continual Disease Classification Using Probability Distribution

T Verma, L Schwemer, M Tan, F Gao, Y Liu… - arXiv preprint arXiv …, 2024 - arxiv.org
Deep learning models are widely recognized for their effectiveness in identifying medical
image findings in disease classification. However, their limitations become apparent in the …
相关文章 所有 2 个版本