AI Medical Compendium Journal:
Biomedical engineering letters

Showing 1 to 3 of 3 articles

Machine learning classifier solving the problem of sleep stage imbalance between overnight sleep.

Biomedical engineering letters
Feature extraction follows the American Academy of Sleep Medicine (AASM) sleep score manually and applies it to machine learning with a focus on the generalization of sleep data to enable data-centric artificial intelligence. In real-world clinical t...

Photoacoustic imaging aided with deep learning: a review.

Biomedical engineering letters
Photoacoustic imaging (PAI) is an emerging hybrid imaging modality integrating the benefits of both optical and ultrasound imaging. Although PAI exhibits superior imaging capabilities, its translation into clinics is still hindered by various limitat...

Adaptive fuzzy deformable fusion and optimized CNN with ensemble classification for automated brain tumor diagnosis.

Biomedical engineering letters
Automatic classification of brain tumor plays a vital role to speed up the treatment procedure, plan and boost the survival rate of patients. Nowadays, Magnetic Resonance Imaging (MRI) is employed for determining brain tumor. However, manual identifi...