Objective Employing transfer learning (TL) with convolutional neural networks (CNNs), well-
trained on non-medical ImageNet dataset, has shown promising results for medical image …

Gastric cancer is the fourth leading cause of cancer-related mortality across the globe, with a
5-year survival rate of less than 40%. In recent years, several applications of artificial …

Convolutional neural networks, are one of the most representative deep learning models.
CNNs were extensively used in many aspects of medical image analysis, allowing for great …

This article presents results of a case study within a project that seeks to develop heavily
automated analysis of digital topographic data to extract archaeological information and to …

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 …

Endoscopy is a widely used technique for the early detection of diseases or robotic-assisted
minimally invasive surgery (RMIS). Numerous deep learning (DL)-based research works …

Background Accurate identification of the differentiation status and margins for early gastric
cancer (EGC) is critical for determining the surgical strategy and achieving curative resection …

Deep learning techniques, which use a massive technology known as convolutional neural
networks, have shown excellent results in a variety of areas, including image processing …

Ulcerative colitis (UC) belongs to the inflammatory bowel disease (IBD) family, which is
mainly caused by inflammation of the tissue in the colon and rectum. The severity of this …

Gastric cancer (GC) is one of the most common malignant tumors with high mortality.
Accurate diagnosis and treatment decisions for GC rely heavily on human experts' careful …