9 citations · 17 across the 5 of their papers we have counts for
5 papers
Graph Convolution Neural Network For Weakly Supervised Abnormality Localization In Long Capsule Endoscopy Videos
Sodiq Adewole, Philip Fernandes, James Jablonski +4
Temporal activity localization in long videos is an important problem. The cost of obtaining frame level label for long Wireless Capsule Endoscopy (WCE) videos is prohibitive. In t…
Unsupervised Shot Boundary Detection for Temporal Segmentation of Long Capsule Endoscopy Videos
Sodiq Adewole, Philip Fernandes, James Jablonski +4
Physicians use Capsule Endoscopy (CE) as a non-invasive and non-surgical procedure to examine the entire gastrointestinal (GI) tract for diseases and abnormalities. A single CE exa…
Feature Selection Using Reinforcement Learning
Sali Rasoul, Sodiq Adewole, Alphonse Akakpo
With the decreasing cost of data collection, the space of variables or features that can be used to characterize a particular predictor of interest continues to grow exponentially.…
Lesion2Vec: Deep Metric Learning for Few-Shot Multiple Lesions Recognition in Wireless Capsule Endoscopy Video
Sodiq Adewole, Philip Fernandez, Michelle Yeghyayan +5
Effective and rapid detection of lesions in the Gastrointestinal tract is critical to gastroenterologist's response to some life-threatening diseases. Wireless Capsule Endoscopy (W…
Hierarchical Deep Convolutional Neural Networks for Multi-category Diagnosis of Gastrointestinal Disorders on Histopathological Images
Rasoul Sali, Sodiq Adewole, Lubaina Ehsan +8
Deep convolutional neural networks(CNNs) have been successful for a wide range of computer vision tasks, including image classification. A specific area of the application lies in…