With the improvement of hardware computing power and the development of deep learning
algorithms, a revolution of" artificial intelligence (AI)+ medical image" is taking place …

Mass spectrometry-based proteomic technique has become indispensable in current
exploration of complex and dynamic biological processes. Instrument development has …

Advancements in the development of computer-aided decision (CAD) systems for clinical
routines provide unquestionable benefits in connecting human medical expertise with …

Background Colonoscopy remains the gold-standard screening for colorectal cancer.
However, significant miss rates for polyps have been reported, particularly when there are …

More than half of brain tumors are malignant tumors, so there is a need for fast and accurate
segmentation of tumor regions in brain Magnetic Resonance Imaging (MRI) images …

Background and objective It is very significant in orthodontics and restorative dentistry that
the teeth are segmented from dental panoramic X-ray images. Nevertheless, there are some …

Most people worldwide, irrespective of their age, are suffering from massive cardiac arrest.
To detect heart attacks early, many researchers worked on the clinical datasets collected …

Feature pyramid networks (FPNs) are widely used in the existing deep detection models to
help them utilize multi-scale features. However, there exist two multi-scale feature fusion …

Liver cancer is one of the leading causes of cancer-related deaths worldwide. Automatic
liver and tumor segmentation are of great value in clinical practice as they can reduce …

Convolutional neural networks (CNNs) show excellent performance in accurate medical
image segmentation. However, the characteristics of sample with small size and insufficient …