Early Detection of Cancer in Cases of Barrett's Esophagus Using Robotic Endoscopy Image Analysis Through Deep Image Retrieval

The project intention is to acquire secondary endoscopy captured data from clinicians to create a sufficient dataset to train a learning system to achieve the stated objective. The data required will feature footage (images/videos) from inside the oesophagus. The preferred data would contain associated diagnosis notes and description, however, data without diagnosis can still be used. All data can and will be anonymised, as personal information will not be useful in this work.

The data will be labelled by either researchers, or professional clinicians and prepared ready to feed into a chosen learning AI system. Through an iterative learning process, the chosen AI system will learn to discriminate between severity of Barrett's oesophagus and output optimal biopsy target.