Deep Learning has contributed significantly to the advances made in the fields of Medical
Imaging and Computer Aided Diagnosis (CAD). Although a variety of Deep Learning (DL) …

Endoscopy may be used for early screening of various cancers, such as nasopharyngeal
cancer, esophageal adenocarcinoma, gastric cancer, colorectal cancer, and bladder cancer …

Endoscopy is a standard method for the diagnosis and detection of colorectal lesions. As a
method to enhance the detectability of lesions, the effectiveness of pancolonic …

Early diagnoses of esophageal cancer can greatly improve the survival rate of patients. At
present, the lesion annotation of early esophageal cancers (EEC) in gastroscopic images is …

Computer-assisted minimally-invasive surgery (MIS) is often based on algorithms that
require establishing correspondences between endoscopic images. However, reference …

The increasing volume of medical image data, as well as the need for multicenter data
consolidation for big data analytics, require computer-aided medical image annotation …

Medical image annotation has significant potential to detect multiple tags. To detect specific
tags and labels, most of the conventional learning algorithms took difficulty in matching the …

Background: Annotating large medical imaging datasets is an arduous and expensive task,
especially when the datasets in question are not organized according to deep learning …

Accurate recognition of anatomy sites is important for evaluating the quality of
esophagogastroduodenoscopy (EGD) examinations. However, because some anatomy …

Annotating biomedical images for supervised learning is a complex and labor-intensive task
due to data diversity and its intricate nature. In this paper, we propose an innovative method …