[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 …
PolypSegNet: A modified encoder-decoder architecture for automated polyp segmentation from colonoscopy images
Colorectal cancer has become one of the major causes of death throughout the world. Early
detection of Polyp, an early symptom of colorectal cancer, can increase the survival rate to …
detection of Polyp, an early symptom of colorectal cancer, can increase the survival rate to …
Ensemble of instance segmentation models for polyp segmentation in colonoscopy images
Colorectal cancer is the second most frequently diagnosed cancer in women and the third
most frequently diagnosed cancer in men. At least 80%-95% of the colorectal cancers are …
most frequently diagnosed cancer in men. At least 80%-95% of the colorectal cancers are …
Learn to threshold: Thresholdnet with confidence-guided manifold mixup for polyp segmentation
The automatic segmentation of polyp in endoscopy images is crucial for early diagnosis and
cure of colorectal cancer. Existing deep learning-based methods for polyp segmentation …
cure of colorectal cancer. Existing deep learning-based methods for polyp segmentation …
A real-time polyp-detection system with clinical application in colonoscopy using deep convolutional neural networks
Colorectal cancer (CRC) is a leading cause of cancer-related deaths worldwide. The best
method to prevent CRC is with a colonoscopy. During this procedure, the gastroenterologist …
method to prevent CRC is with a colonoscopy. During this procedure, the gastroenterologist …
Blazeneo: Blazing fast polyp segmentation and neoplasm detection
In recent years, computer-aided automatic polyp segmentation and neoplasm detection
have been an emerging topic in medical image analysis, providing valuable support to …
have been an emerging topic in medical image analysis, providing valuable support to …
A self-attention based faster R-CNN for polyp detection from colonoscopy images
At present, the incidence rate of colorectal cancer (CRC) is increasing year by year. It has
always affected people's physical and mental health and quality of life. How to improve the …
always affected people's physical and mental health and quality of life. How to improve the …
Artificial intelligence for colonoscopy: past, present, and future
During the past decades, many automated image analysis methods have been developed
for colonoscopy. Real-time implementation of the most promising methods during …
for colonoscopy. Real-time implementation of the most promising methods during …
Real-time automatic polyp detection in colonoscopy using feature enhancement module and spatiotemporal similarity correlation unit
Automatic detection of polyps is challenging because different polyps vary greatly, while the
changes between polyps and their analogues are small. The state-of-the-art methods are …
changes between polyps and their analogues are small. The state-of-the-art methods are …
An advanced diagnostic ColoRectalCADx utilises CNN and unsupervised visual explanations to discover malignancies
Colorectal cancer (CRC) is one of the most lethal kinds of cancer, so early detection is
critical. Three datasets, namely CNN transfer learning with discrete wavelet transform …
critical. Three datasets, namely CNN transfer learning with discrete wavelet transform …