The identification of medical images is an essential task in computer-aided diagnosis,
medical image retrieval and mining. Medical image data mainly include electronic health …

Gastrointestinal (GI) disease is one of the most common diseases and primarily examined
by GI endoscopy. Recently, deep learning (DL), in particular convolutional neural networks …

Mild cognitive impairment (MCI) detection using magnetic resonance image (MRI), plays a
crucial role in the treatment of dementia disease at an early stage. Deep learning …

Background Esophagogastroduodenoscopy (EGD) is a prerequisite for detecting upper
gastrointestinal lesions especially early gastric cancer (EGC). An artificial intelligence …

Alzheimer's disease (AD) is a slow neurological disorder that destroys the thought process,
and consciousness, of a human. It directly affects the development of mental ability and …

Lung cancer (LC) is one of the most serious cancers threatening human health.
Histopathological examination is the gold standard for qualitative and clinical staging of lung …

Despite being widely utilized to help endoscopists identify gastrointestinal (GI) tract diseases
using classification and segmentation, models based on convolutional neural network …

The identification of diseases is inseparable from artificial intelligence. As an important
branch of artificial intelligence, convolutional neural networks play an important role in the …

The accurate diagnosis of various esophageal diseases at different stages is crucial for
providing precision therapy planning and improving 5-year survival rate of esophageal …

Lung cancer is a prevalent malignancy that impacts individuals of all genders and is often
diagnosed late due to delayed symptoms. To catch it early, researchers are developing …