Add to ORKGThis project is funded by the Cancer Research UK (CRUK). Their financial support is gratefully acknowledged. **Make AAM open on publication**Peer reviewedPostprin
Routine surveillance endoscopies are currently used to detect dysplasia in patient with Barrett's Es...
Background & Aims: We aimed to develop and validate a deep-learning computer-aided detection (CAD) s...
Background and Objective. Colorectal cancer (CRC) is a common gastrointestinal tumour with high morb...
This study investigates the feasibility of applying state of the art deep learning techniques to det...
Standard white light (WL) endoscopy often misses precancerous oesophageal changes due to their only ...
Purpose: This study aims to adapt and evaluate the performance of different state-of-the-art deep le...
Purpose This study aims to adapt and evaluate the performance of different state-of-the-art deep lea...
Esophageal cancer is categorized as a type of disease with a high mortality rate. Early detection of...
Objectives: To assess a new application of artificial intelligence for real-time detection of laryng...
While white light imaging (WLI) of endoscopy has been set as the gold standard for screening and det...
Esophageal cancer is counted as one of the deadliest cancers worldwide ranking the sixth among all t...
Automatically detecting early cancer using medical images is challenging, yet very crucial to help s...
INTRODUCTION: adenocarcinoma of the esophagus is the fastest rising type of cancer in the Western wo...
Routine surveillance endoscopies are currently used to detect dysplasia in patient with Barrett's Es...
BACKGROUND & AIMS: We aimed to develop and validate a deep-learning computer-aided detection (CAD) s...
Routine surveillance endoscopies are currently used to detect dysplasia in patient with Barrett's Es...
Background & Aims: We aimed to develop and validate a deep-learning computer-aided detection (CAD) s...
Background and Objective. Colorectal cancer (CRC) is a common gastrointestinal tumour with high morb...
This study investigates the feasibility of applying state of the art deep learning techniques to det...
Standard white light (WL) endoscopy often misses precancerous oesophageal changes due to their only ...
Purpose: This study aims to adapt and evaluate the performance of different state-of-the-art deep le...
Purpose This study aims to adapt and evaluate the performance of different state-of-the-art deep lea...
Esophageal cancer is categorized as a type of disease with a high mortality rate. Early detection of...
Objectives: To assess a new application of artificial intelligence for real-time detection of laryng...
While white light imaging (WLI) of endoscopy has been set as the gold standard for screening and det...
Esophageal cancer is counted as one of the deadliest cancers worldwide ranking the sixth among all t...
Automatically detecting early cancer using medical images is challenging, yet very crucial to help s...
INTRODUCTION: adenocarcinoma of the esophagus is the fastest rising type of cancer in the Western wo...
Routine surveillance endoscopies are currently used to detect dysplasia in patient with Barrett's Es...
BACKGROUND & AIMS: We aimed to develop and validate a deep-learning computer-aided detection (CAD) s...
Routine surveillance endoscopies are currently used to detect dysplasia in patient with Barrett's Es...
Background & Aims: We aimed to develop and validate a deep-learning computer-aided detection (CAD) s...
Background and Objective. Colorectal cancer (CRC) is a common gastrointestinal tumour with high morb...