Explainable deep learning methods in medical image classification: A survey
The remarkable success of deep learning has prompted interest in its application to medical
imaging diagnosis. Even though state-of-the-art deep learning models have achieved …
imaging diagnosis. Even though state-of-the-art deep learning models have achieved …
Interpretable bilingual multimodal large language model for diverse biomedical tasks
Several medical Multimodal Large Languange Models (MLLMs) have been developed to
address tasks involving visual images with textual instructions across various medical …
address tasks involving visual images with textual instructions across various medical …
An accurate and explainable deep learning system improves interobserver agreement in the interpretation of chest radiograph
Interpretation of chest radiographs (CXR) is a difficult but essential task for detecting thoracic
abnormalities. Recent artificial intelligence (AI) algorithms have achieved radiologist-level …
abnormalities. Recent artificial intelligence (AI) algorithms have achieved radiologist-level …
Learning to diagnose common thorax diseases on chest radiographs from radiology reports in Vietnamese
Deep learning, in recent times, has made remarkable strides when it comes to impressive
performance for many tasks, including medical image processing. One of the contributing …
performance for many tasks, including medical image processing. One of the contributing …
[HTML][HTML] Lumbar intervertebral disc detection and classification with novel deep learning models
Low back pain (LBP) is a prevalent spinal issue, affecting eight out of ten individuals.
Notably, lumbar intervertebral disc (IVD) abnormalities frequently contribute to LBP. To …
Notably, lumbar intervertebral disc (IVD) abnormalities frequently contribute to LBP. To …