ERS: a novel comprehensive endoscopy image dataset for machine learning, compliant with the MST 3.0 specification [PDF]
The article presents a new multi-label comprehensive image dataset from flexible endoscopy, colonoscopy and capsule endoscopy, named ERS. The collection has been labeled according to the full medical specification of 'Minimum Standard Terminology 3.0' (MST 3.0), describing all possible findings in the gastrointestinal tract (104 possible labels ...
arxiv
This article summarizes significant technological advancements in materials, photonic devices, and bio‐interfaced systems, which demonstrate successful applications for impacting human healthcare via improved therapies, advanced diagnostics, and on‐skin health monitoring.
Seunghyeb Ban+5 more
wiley +1 more source
Artificial Intelligence in Capsule Endoscopy: A Practical Guide to Its Past and Future Challenges
Artificial intelligence (AI) has revolutionized the medical diagnostic process of various diseases. Since the manual reading of capsule endoscopy videos is a time-intensive, error-prone process, computerized algorithms have been introduced to automate ...
Sang Hoon Kim, Yun Jeong Lim
doaj +1 more source
A Retrospective Analysis to Validate the Alarm Signs Used in the CEDAP-Plus Study [PDF]
Background and Study Aim. This study aimed to validate the alarm signs used in the 2007 German CEDAP-Plus study for indicating capsule endoscopy in patients who have idiopathic chronic abdominal pain. Patients and Methods. We retrospectively reviewed the
Lin, Mu-Xian, Zhang, Hou-De, Zhang, Qu
core +3 more sources
Cardiac Organoid Model Inspired Micro‐Robot Smart Patch to Treat Myocardial Infarction
The heart organoid model exhibits the acidic microenvironment characteristic of myocardial infarction, which emerges as a pivotal force propelling the movement of micro‐robots. These micro‐robots, administered through microneedles, can penetrate deep into the tissue, effectively delivering therapeutic payloads to facilitate heart repair.
Fangfang Wang+12 more
wiley +1 more source
Progress Towards a Multi-Modal Capsule Endoscopy Device Featuring Microultrasound Imaging [PDF]
Current clinical standards for endoscopy in the gastrointestinal (GI) tract combine high definition optics and ultrasound imaging to view the lumen superficially and through its thickness.
Al-Rawhani, M.+14 more
core +2 more sources
Video Capsule Endoscopy Classification using Focal Modulation Guided Convolutional Neural Network [PDF]
Video capsule endoscopy is a hot topic in computer vision and medicine. Deep learning can have a positive impact on the future of video capsule endoscopy technology. It can improve the anomaly detection rate, reduce physicians' time for screening, and aid in real-world clinical analysis.
arxiv
Commercial femtosecond direct laser writing (Nanoscribe GT) is utilized to fabricate electrically switchable PEDOT:PSS nanostructures on ITO‐coated glass substrates, as well as underneath and on top of 3D‐printed structures and demonstrates beam‐switching at 1550 nm. Abstract Microscale three‐dimensional (3D)‐printing, with its remarkable precision and
Dominik Ludescher+8 more
wiley +1 more source
Capsule Endoscopy in Celiac Disease [PDF]
Capsule endoscopy (CE) has been increasingly used for diagnosing disease of the small bowel. It is an attractive technique for assessing celiac disease (CD) because it is noninvasive and provides a close and magnified view of the mucosa of the entire small bowel.
E. Akin, O. Ersoy
openaire +4 more sources
A Hybrid Convolutional Neural Network with Meta Feature Learning for Abnormality Detection in Wireless Capsule Endoscopy Images [PDF]
Wireless Capsule Endoscopy is one of the most advanced non-invasive methods for the examination of gastrointestinal tracts. An intelligent computer-aided diagnostic system for detecting gastrointestinal abnormalities like polyp, bleeding, inflammation, etc. is highly exigent in wireless capsule endoscopy image analysis.
arxiv