Wireless capsule endoscopy multiclass classification using three-dimensional deep convolutional neural network model. [PDF]
Bordbar M +3 more
europepmc +1 more source
Automatic Classification of GI Organs in Wireless Capsule Endoscopy Using a No-Code Platform-Based Deep Learning Model. [PDF]
Chung J, Oh DJ, Park J, Kim SH, Lim YJ.
europepmc +1 more source
Clinical impact of wireless capsule endoscopy for small bowel investigation (Review). [PDF]
Ionescu AG +8 more
europepmc +1 more source
Multi-Scale Hybrid Network for Polyp Detection in Wireless Capsule Endoscopy and Colonoscopy Images. [PDF]
Souaidi M, El Ansari M.
europepmc +1 more source
Small Bowel Detection for Wireless Capsule Endoscopy Using Convolutional Neural Networks with Temporal Filtering. [PDF]
Son G +8 more
europepmc +1 more source
An End-to-End Deep Learning System for Gastrointestinal Bleeding Detection and Quantification in Wireless Capsule Endoscopy. [PDF]
Kanhira Kadavath MR +3 more
europepmc +1 more source
RAt-CapsNet: A Deep Learning Network Utilizing Attention and Regional Information for Abnormality Detection in Wireless Capsule Endoscopy. [PDF]
Alam MJ, Rashid RB, Fattah SA, Saquib M.
europepmc +1 more source
Improved Object Detection Artificial Intelligence Using the Revised RetinaNet Model for the Automatic Detection of Ulcerations, Vascular Lesions, and Tumors in Wireless Capsule Endoscopy. [PDF]
Nakada A +16 more
europepmc +1 more source
Towards tactile sensing active capsule endoscopy [PDF]
Examination of the gastrointestinal(GI) tract has traditionally been performed using tethered endoscopy tools with limited reach and more recently with passive untethered capsule endoscopy with limited capability.
Winstone, Benjamin
core
A Compliant SMA-Actuated Capsule Robot with Integrated Locomotion and Steering for Wireless Capsule Endoscopy. [PDF]
Alshorman AM +5 more
europepmc +1 more source

