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[HTML][HTML] Surgical data science–from concepts toward clinical translation
Recent developments in data science in general and machine learning in particular have
transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a …
transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a …
Where do we stand in AI for endoscopic image analysis? Deciphering gaps and future directions
Recent developments in deep learning have enabled data-driven algorithms that can reach
human-level performance and beyond. The development and deployment of medical image …
human-level performance and beyond. The development and deployment of medical image …
Real-time polyp detection, localization and segmentation in colonoscopy using deep learning
Computer-aided detection, localization, and segmentation methods can help improve
colonoscopy procedures. Even though many methods have been built to tackle automatic …
colonoscopy procedures. Even though many methods have been built to tackle automatic …
Dual encoder–decoder-based deep polyp segmentation network for colonoscopy images
Detection of colorectal polyps through colonoscopy is an essential practice in prevention of
colorectal cancers. However, the method itself is labor intensive and is subject to human …
colorectal cancers. However, the method itself is labor intensive and is subject to human …
Deep convolutional neural networks with ensemble learning and transfer learning for automated detection of gastrointestinal diseases
Gastrointestinal (GI) diseases are serious health threats to human health, and the related
detection and treatment of gastrointestinal diseases place a huge burden on medical …
detection and treatment of gastrointestinal diseases place a huge burden on medical …
A multi-centre polyp detection and segmentation dataset for generalisability assessment
Polyps in the colon are widely known cancer precursors identified by colonoscopy. Whilst
most polyps are benign, the polyp's number, size and surface structure are linked to the risk …
most polyps are benign, the polyp's number, size and surface structure are linked to the risk …
DDANet: Dual decoder attention network for automatic polyp segmentation
Colonoscopy is the gold standard for examination and detection of colorectal polyps.
Localization and delineation of polyps can play a vital role in treatment (eg, surgical …
Localization and delineation of polyps can play a vital role in treatment (eg, surgical …
[HTML][HTML] Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy
Abstract The Endoscopy Computer Vision Challenge (EndoCV) is a crowd-sourcing initiative
to address eminent problems in develo** reliable computer aided detection and diagnosis …
to address eminent problems in develo** reliable computer aided detection and diagnosis …
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 …
Kvasir-instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy
Gastrointestinal (GI) pathologies are periodically screened, biopsied, and resected using
surgical tools. Usually, the procedures and the treated or resected areas are not specifically …
surgical tools. Usually, the procedures and the treated or resected areas are not specifically …