An efficient real-time colonic polyp detection with YOLO algorithms trained by using negative samples and large datasets
Colorectal cancer (CRC) is one of the common types of cancer with a high mortality rate.
Colonoscopy is the gold standard for CRC screening and significantly reduces CRC …
Colonoscopy is the gold standard for CRC screening and significantly reduces CRC …
[HTML][HTML] Video polyp segmentation: A deep learning perspective
We present the first comprehensive video polyp segmentation (VPS) study in the deep
learning era. Over the years, developments in VPS are not moving forward with ease due to …
learning era. Over the years, developments in VPS are not moving forward with ease due to …
Robust real-time polyp detection system design based on YOLO algorithms by optimizing activation functions and hyper-parameters with artificial bee colony (ABC)
Colorectal cancer (CRC) is one of the most common cancer types with a high mortality rate.
Colonoscopy is considered the gold standard in CRC screening, it also provides immediate …
Colonoscopy is considered the gold standard in CRC screening, it also provides immediate …
[HTML][HTML] Comprehensive review of publicly available colonoscopic imaging databases for artificial intelligence research: availability, accessibility, and usability
BBSL Houwen, KJ Nass, JLA Vleugels… - Gastrointestinal …, 2023 - Elsevier
Background and Aims Publicly available databases containing colonoscopic imaging data
are valuable resources for artificial intelligence (AI) research. Currently, little is known …
are valuable resources for artificial intelligence (AI) research. Currently, little is known …
[HTML][HTML] SinGAN-Seg: Synthetic training data generation for medical image segmentation
Analyzing medical data to find abnormalities is a time-consuming and costly task,
particularly for rare abnormalities, requiring tremendous efforts from medical experts …
particularly for rare abnormalities, requiring tremendous efforts from medical experts …
Duplex contextual relation network for polyp segmentation
Automatic polyp segmentation from colonoscopy has a pivotal role in the early diagnosis
and surgery of Colorectal Cancer (CRC). However, the diversity of polyps across different …
and surgery of Colorectal Cancer (CRC). However, the diversity of polyps across different …
[HTML][HTML] Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge
Polyps are well-known cancer precursors identified by colonoscopy. However, variability in
their size, appearance, and location makes the detection of polyps challenging. Moreover …
their size, appearance, and location makes the detection of polyps challenging. Moreover …
[HTML][HTML] Real-time polyp detection model using convolutional neural networks
A Nogueira-Rodríguez… - Neural Computing and …, 2022 - Springer
Colorectal cancer is a major health problem, where advances towards computer-aided
diagnosis (CAD) systems to assist the endoscopist can be a promising path to improvement …
diagnosis (CAD) systems to assist the endoscopist can be a promising path to improvement …
A survey on deep learning for polyp segmentation: Techniques, challenges and future trends
Early detection and assessment of polyps play a crucial role in the prevention and treatment
of colorectal cancer (CRC). Polyp segmentation provides an effective solution to assist …
of colorectal cancer (CRC). Polyp segmentation provides an effective solution to assist …
[HTML][HTML] Detection of dental apical lesions using CNNs on periapical radiograph
CW Li, SY Lin, HS Chou, TY Chen, YA Chen, SY Liu… - Sensors, 2021 - mdpi.com
Apical lesions, the general term for chronic infectious diseases, are very common dental
diseases in modern life, and are caused by various factors. The current prevailing …
diseases in modern life, and are caused by various factors. The current prevailing …