Hyper-parameter optimization of deep learning architectures using artificial bee colony (ABC) algorithm for high performance real-time automatic colorectal cancer …

A Karaman, D Karaboga, I Pacal, B Akay, A Basturk… - Applied …, 2023 - Springer
Colorectal cancer (CRC) is one of the most common and malignant types of cancer
worldwide. Colonoscopy, considered the gold standard for CRC screening, allows …

Deep learning and gastric cancer: systematic review of AI-Assisted Endoscopy

E Klang, A Soroush, GN Nadkarni, K Sharif, A Lahat - Diagnostics, 2023 - mdpi.com
Background: Gastric cancer (GC), a significant health burden worldwide, is typically
diagnosed in the advanced stages due to its non-specific symptoms and complex …

Colorectal polyp detection in colonoscopy images using YOLO-V8 network

M Lalinia, A Sahafi - Signal, Image and Video Processing, 2024 - Springer
Gastrointestinal tract disorders, including colorectal cancer (CRC), impose a significant
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) …

GastroNet: Gastrointestinal polyp and abnormal feature detection and classification with deep learning approach

F Yasmin, MM Hassan, M Hasan, S Zaman… - IEEE …, 2023 - ieeexplore.ieee.org
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 …

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 …

An automatic gastric polyp detection technique using deep learning

D Mushtaq, TM Madni, UI Janjua… - … Journal of Imaging …, 2023 - Wiley Online Library
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 …

Semantic segmentation of gastric polyps in endoscopic images based on convolutional neural networks and an integrated evaluation approach

T Yan, YY Qin, PK Wong, H Ren, CH Wong, L Yao… - Bioengineering, 2023 - mdpi.com
Convolutional neural networks (CNNs) have received increased attention in endoscopic
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 …

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 …