[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 …
Federated learning for medical applications: A taxonomy, current trends, challenges, and future research directions
With the advent of the Internet of Things (IoT), artificial intelligence (AI), machine learning
(ML), and deep learning (DL) algorithms, the landscape of data-driven medical applications …
(ML), and deep learning (DL) algorithms, the landscape of data-driven medical applications …
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 …
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 …
Ophnet: A large-scale video benchmark for ophthalmic surgical workflow understanding
Surgical scene perception via videos is critical for advancing robotic surgery, telesurgery,
and AI-assisted surgery, particularly in ophthalmology. However, the scarcity of diverse and …
and AI-assisted surgery, particularly in ophthalmology. However, the scarcity of diverse and …
Colonoscopy polyp detection and classification: Dataset creation and comparative evaluations
Colorectal cancer (CRC) is one of the most common types of cancer with a high mortality
rate. Colonoscopy is the preferred procedure for CRC screening and has proven to be …
rate. Colonoscopy is the preferred procedure for CRC screening and has proven to be …
Foundation model for endoscopy video analysis via large-scale self-supervised pre-train
Foundation models have exhibited remarkable success in various applications, such as
disease diagnosis and text report generation. To date, a foundation model for endoscopic …
disease diagnosis and text report generation. To date, a foundation model for endoscopic …
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 …
Capsule vision 2024 challenge: Multi-class abnormality classification for video capsule endoscopy
We present the Capsule Vision 2024 Challenge: Multi-Class Abnormality Classification for
Video Capsule Endoscopy. It is being virtually organized by the Research Center for …
Video Capsule Endoscopy. It is being virtually organized by the Research Center for …
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 …