The intersection of video capsule endoscopy and artificial intelligence: addressing unique challenges using machine learning

no code implementations • 24 Aug 2023 • Shan Guleria, Benjamin Schwartz, Yash Sharma, Philip Fernandes, James Jablonski, Sodiq Adewole, Sanjana Srivastava, Fisher Rhoads, Michael Porter, Michelle Yeghyayan, Dylan Hyatt, Andrew Copland, Lubaina Ehsan, Donald Brown, Sana Syed

Discussion: Each of these five challenges is addressed, in part, by one of our AI-based models.

Meta-Learning Weakly-supervised Learning

Graph Convolution Neural Network For Weakly Supervised Abnormality Localization In Long Capsule Endoscopy Videos

no code implementations • 18 Oct 2021 • Sodiq Adewole, Philip Fernandes, James Jablonski, Andrew Copland, Michael Porter, Sana Syed, Donald Brown

In this paper, we propose an end-to-end temporal abnormality localization for long WCE videos using only weak video level labels.

Change Point Detection Graph Classification +1

Unsupervised Shot Boundary Detection for Temporal Segmentation of Long Capsule Endoscopy Videos

no code implementations • 18 Oct 2021 • Sodiq Adewole, Philip Fernandes, James Jablonski, Andrew Copland, Michael Porter, Sana Syed, Donald Brown

However, the search for temporal boundaries in a long video using high dimensional frame-feature matrix is computationally prohibitive and impracticable for real clinical application.

Boundary Detection

Lesion2Vec: Deep Metric Learning for Few-Shot Multiple Lesions Recognition in Wireless Capsule Endoscopy Video

no code implementations • 11 Jan 2021 • Sodiq Adewole, Philip Fernandez, Michelle Yeghyayan, James Jablonski, Andrew Copland, Michael Porter, Sana Syed, Donald Brown

Automating the detection of frames containing specific lesion in WCE video would relieve gastroenterologists the arduous task of reviewing the entire video before making diagnosis.

Few-Shot Learning Image Classification +2