[HTML][HTML] Diagnostic accuracy of artificial intelligence and computer-aided diagnosis for the detection and characterization of colorectal polyps: systematic review and …
S Nazarian, B Glover, H Ashrafian, A Darzi… - Journal of medical …, 2021 - jmir.org
Background Colonoscopy reduces the incidence of colorectal cancer (CRC) by allowing
detection and resection of neoplastic polyps. Evidence shows that many small polyps are …
detection and resection of neoplastic polyps. Evidence shows that many small polyps are …
Deep learning in biomedical optics
This article reviews deep learning applications in biomedical optics with a particular
emphasis on image formation. The review is organized by imaging domains within …
emphasis on image formation. The review is organized by imaging domains within …
[HTML][HTML] Polyp detection on video colonoscopy using a hybrid 2D/3D CNN
Colonoscopy is the gold standard for early diagnosis and pre-emptive treatment of colorectal
cancer by detecting and removing colonic polyps. Deep learning approaches to polyp …
cancer by detecting and removing colonic polyps. Deep learning approaches to polyp …
Nanonet: Real-time polyp segmentation in video capsule endoscopy and colonoscopy
Deep learning in gastrointestinal endoscopy can assist to improve clinical performance and
be helpful to assess lesions more accurately. To this extent, semantic segmentation methods …
be helpful to assess lesions more accurately. To this extent, semantic segmentation methods …
DCDS-net: deep transfer network based on depth-wise separable convolution with residual connection for diagnosing gastrointestinal diseases
Gastrointestinal (GI) diseases are the most common in the human digestive system and has
a significantly higher mortality rate. Accurate evaluation of endoscopic images plays an …
a significantly higher mortality rate. Accurate evaluation of endoscopic images plays an …
Emerging research trends in artificial intelligence for cancer diagnostic systems: A comprehensive review
This review article offers a comprehensive analysis of current developments in the
application of machine learning for cancer diagnostic systems. The effectiveness of machine …
application of machine learning for cancer diagnostic systems. The effectiveness of machine …
Deep learning approaches for automatic localization in medical images
Recent revolutionary advances in deep learning (DL) have fueled several breakthrough
achievements in various complicated computer vision tasks. The remarkable successes and …
achievements in various complicated computer vision tasks. The remarkable successes and …
[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 …
A Simultaneous Polyp and Lumen Detection Framework Towards Autonomous Robotic Colonoscopy
Colorectal Cancer is one of the deadliest diseases with a high incidence and mortality
worldwide. Robotic colonoscopes have been extensively developed to provide alternative …
worldwide. Robotic colonoscopes have been extensively developed to provide alternative …
Frontiers in intelligent colonoscopy
Colonoscopy is currently one of the most sensitive screening methods for colorectal cancer.
This study investigates the frontiers of intelligent colonoscopy techniques and their …
This study investigates the frontiers of intelligent colonoscopy techniques and their …