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Hyper-parameter optimization of deep learning architectures using artificial bee colony (ABC) algorithm for high performance real-time automatic colorectal cancer …
Colorectal cancer (CRC) is one of the most common and malignant types of cancer
worldwide. Colonoscopy, considered the gold standard for CRC screening, allows …
worldwide. Colonoscopy, considered the gold standard for CRC screening, allows …
Deep learning and gastric cancer: systematic review of AI-Assisted Endoscopy
Background: Gastric cancer (GC), a significant health burden worldwide, is typically
diagnosed in the advanced stages due to its non-specific symptoms and complex …
diagnosed in the advanced stages due to its non-specific symptoms and complex …
Colorectal polyp detection in colonoscopy images using YOLO-V8 network
Gastrointestinal tract disorders, including colorectal cancer (CRC), impose a significant
health burden in Europe, with rising incidence rates among both young and elderly …
health burden in Europe, with rising incidence rates among both young and elderly …
Deep learning for pancreatic diseases based on endoscopic ultrasound: A systematic review
M Yin, L Liu, J Gao, J Lin, S Qu, W Xu, X Liu… - International Journal of …, 2023 - Elsevier
Background and aims Endoscopic ultrasonography (EUS) is one of the main examinations
in pancreatic diseases. A series of the studies reported the application of deep learning (DL) …
in pancreatic diseases. A series of the studies reported the application of deep learning (DL) …
GastroNet: Gastrointestinal polyp and abnormal feature detection and classification with deep learning approach
The early detection of digestive problems is essential for lowering the chance of acquiring
any form of gastrointestinal cancer, including esophageal cancer. Endoscopy is the method …
any form of gastrointestinal cancer, including esophageal cancer. Endoscopy is the method …
Improving deep learning-based polyp detection using feature extraction and data augmentation
YC Chou, CC Chen - Multimedia Tools and Applications, 2023 - Springer
Abstract In recent years, Colorectal Cancer (CRC) has been common reasons of lethal
disease and cancer. However, colonoscopy can examine this disease, and the location of …
disease and cancer. However, colonoscopy can examine this disease, and the location of …
An automatic gastric polyp detection technique using deep learning
Over the last few years, researchers have focused on computer‐aided polyp detection in
gastroscopy. Deep learning (DL) has shown great promise for polyps' identification. The …
gastroscopy. Deep learning (DL) has shown great promise for polyps' identification. The …
Semantic segmentation of gastric polyps in endoscopic images based on convolutional neural networks and an integrated evaluation approach
Convolutional neural networks (CNNs) have received increased attention in endoscopic
images due to their outstanding advantages. Clinically, some gastric polyps are related to …
images due to their outstanding advantages. Clinically, some gastric polyps are related to …
Automated detection of endometrial polyps from hysteroscopic videos using deep learning
A Zhao, X Du, S Yuan, W Shen, X Zhu, W Wang - Diagnostics, 2023 - mdpi.com
Endometrial polyps are common gynecological lesions. The standard treatment for this
condition is hysteroscopic polypectomy. However, this procedure may be accompanied by …
condition is hysteroscopic polypectomy. However, this procedure may be accompanied by …
A reconstruction and convolution operations enabled variant vision transformer with gastroscopic images for automatic locating of polyps in Internet of Medical Things
Z Qin, Y Zhang, J Li, D Li, Y Mo, L Wang, P Qian… - Information …, 2024 - Elsevier
Gastric polyps are an important cause of gastric disease. At present, the computer-aided
diagnosis technology based on convolutional neural network (CNN) can automatically …
diagnosis technology based on convolutional neural network (CNN) can automatically …