Showing results for Active learning for robust supervised classification of pulmonary emphysema.
Dive into the research topics of 'Active relearning for robust supervised classification of pulmonary emphysema'. Together they form a unique fingerprint.
The robustness of supervised learning depends on the training samples. Towards optimizing emphysema classification, we introduce a physician-in-the-loop ...
Missing: pulmonary | Show results with:pulmonary
Active relearning for robust supervised classification of pulmonary emphysema · S. Raghunath, S. Rajagopalan, +2 authors. R. Robb · Published in Medical Imaging ...
Apr 26, 2014 · The robustness of supervised learning depends on the training samples. Towards optimizing emphysema classification, we introduce a physician-in- ...
Dive into the research topics of 'Active relearning for robust supervised classification of pulmonary emphysema'. Together they form a unique fingerprint. Sort ...
Dec 3, 2019 · To determine whether participant-level emphysema pattern could predict impairment and mortality when classified by using a deep learning method.
This paper is to estimate the potential of a deep learning method for automatic diagnosis of pulmonary emphysema.
Missing: supervised | Show results with:supervised
Sep 9, 2024 · This review looks at recent research, both domestically and abroad, on the application of machine learning (ML) for early COPD screening.
Dec 25, 2024 · A deep learning model with an optimization algorithm is developed for detecting pulmonary emphysema. They act as an efficient mechanism for detecting the ...
Missing: supervised | Show results with:supervised
Aug 22, 2024 · Robust Texture Features For Emphysema Classification In CT Images. ... Deep learning enables automatic classification of emphysema pattern at CT.