Capsule endoscopy (CE) is a preferred diagnostic method for analyzing small bowel diseases. However, capsule endoscopes capture a sparse number of images because of their mechanical limitations. Post-procedural management using computational methods can enhance image quality. Additional information, including depth, can be obtained by using recently developed computer vision techniques. It is possible to measure the size of lesions and track the trajectory of capsule endoscopes using the computer vision technology, without requiring additional equipment. Moreover, the computational analysis of CE images can help detect lesions more accurately within a shorter time. Newly introduced deep leaning-based methods have shown more remarkable results over traditional computerized approaches. A large-scale standard dataset should be prepared to develop an optimal algorithms for improving the diagnostic yield of CE. The close collaboration between information technology and medical professionals is needed.
Citations
Citations to this article as recorded by
Multivariate Gaussian Bayes classifier with limited data for segmentation of clean and contaminated regions in the small bowel capsule endoscopy images Vahid Sadeghi, Alireza Mehridehnavi, Maryam Behdad, Alireza Vard, Mina Omrani, Mohsen Sharifi, Yasaman Sanahmadi, Niloufar Teyfouri, Xiaohui Zhang PLOS ONE.2025; 20(3): e0315638. CrossRef
A Review of Biomedical Devices: Classification, Regulatory Guidelines, Human Factors, Software as a Medical Device, and Cybersecurity Felix Tettey, Santosh Kumar Parupelli, Salil Desai Biomedical Materials & Devices.2024; 2(1): 316. CrossRef
Real‐time small bowel visualization quality assessment in wireless capsule endoscopy images using different lightweight embeddable models Vahid Sadeghi, Alireza Mehridehnavi, Yasaman Sanahmadi, Sajed Rakhshani, Mina Omrani, Mohsen Sharifi International Journal of Imaging Systems and Technology.2024;[Epub] CrossRef
STAR-RL: Spatial-Temporal Hierarchical Reinforcement Learning for Interpretable Pathology Image Super-Resolution Wenting Chen, Jie Liu, Tommy W. S. Chow, Yixuan Yuan IEEE Transactions on Medical Imaging.2024; 43(12): 4368. CrossRef
A Novel Computer-Aided Detection/Diagnosis System for Detection and Classification of Polyps in Colonoscopy Chia-Pei Tang, Hong-Yi Chang, Wei-Chun Wang, Wei-Xuan Hu Diagnostics.2023; 13(2): 170. CrossRef
Revealing the Boundaries of Selected Gastro-Intestinal (GI) Organs by Implementing CNNs in Endoscopic Capsule Images Sofia A. Athanasiou, Eleftheria S. Sergaki, Andreas A. Polydorou, Alexios A. Polydorou, George S. Stavrakakis, Nikolaos M. Afentakis, Ioannis O. Vardiambasis, Michail E. Zervakis Diagnostics.2023; 13(5): 865. CrossRef
Transformer with Hybrid Attention Mechanism for Stereo Endoscopic Video Super Resolution Tianyi Zhang, Jie Yang Symmetry.2023; 15(10): 1947. CrossRef
KAPSUL ENDOSKOPİYASI İLƏ İNCƏ BAĞIRSAQ MÜAYİNƏSİNDƏ MÖVCUD VƏZİYYƏT VƏ GƏLƏCƏK PERSPEKTİVLİYİ Həbib Həsənzadə, Amalya Həsənova Həbib Həsənzadə, Amalya Həsənova PAHTEI-Procedings of Azerbaijan High Technical Educational Institutions.2023; 34(11): 105. CrossRef
Small Bowel Detection for Wireless Capsule Endoscopy Using Convolutional Neural Networks with Temporal Filtering Geonhui Son, Taejoon Eo, Jiwoong An, Dong Oh, Yejee Shin, Hyenogseop Rha, You Kim, Yun Lim, Dosik Hwang Diagnostics.2022; 12(8): 1858. CrossRef
Dynamic Depth-Aware Network for Endoscopy Super-Resolution Wenting Chen, Yifan Liu, Jiancong Hu, Yixuan Yuan IEEE Journal of Biomedical and Health Informatics.2022; 26(10): 5189. CrossRef
X-ray Imaging for Gastrointestinal Tracking of Microscale Oral Drug Delivery Devices Rolf Bech Kjeldsen, Maja Nørgaard Kristensen, Carsten Gundlach, Lasse Højlund Eklund Thamdrup, Anette Müllertz, Thomas Rades, Line Hagner Nielsen, Kinga Zór, Anja Boisen ACS Biomaterials Science & Engineering.2021; 7(6): 2538. CrossRef
VR-Caps: A Virtual Environment for Capsule Endoscopy Kağan İncetan, Ibrahim Omer Celik, Abdulhamid Obeid, Guliz Irem Gokceler, Kutsev Bengisu Ozyoruk, Yasin Almalioglu, Richard J. Chen, Faisal Mahmood, Hunter Gilbert, Nicholas J. Durr, Mehmet Turan Medical Image Analysis.2021; 70: 101990. CrossRef
Development of a deep learning-based software for calculating cleansing score in small bowel capsule endoscopy Ji Hyung Nam, Youngbae Hwang, Dong Jun Oh, Junseok Park, Ki Bae Kim, Min Kyu Jung, Yun Jeong Lim Scientific Reports.2021;[Epub] CrossRef
Kvasir-Capsule, a video capsule endoscopy dataset Pia H. Smedsrud, Vajira Thambawita, Steven A. Hicks, Henrik Gjestang, Oda Olsen Nedrejord, Espen Næss, Hanna Borgli, Debesh Jha, Tor Jan Derek Berstad, Sigrun L. Eskeland, Mathias Lux, Håvard Espeland, Andreas Petlund, Duc Tien Dang Nguyen, Enrique Garcia Scientific Data.2021;[Epub] CrossRef
Development and Verification of a Deep Learning Algorithm to Evaluate Small-Bowel Preparation Quality Ji Hyung Nam, Dong Jun Oh, Sumin Lee, Hyun Joo Song, Yun Jeong Lim Diagnostics.2021; 11(6): 1127. CrossRef
Role of Artificial Intelligence in Video Capsule Endoscopy Ioannis Tziortziotis, Faidon-Marios Laskaratos, Sergio Coda Diagnostics.2021; 11(7): 1192. CrossRef
Design and Research of Interactive Animation of Immersive Space Scene Based on Computer Vision Technology Shan Wu, Hubin Liu, Qi Xu, Yulong Liu, Sang-Bing Tsai Mathematical Problems in Engineering.2021; 2021: 1. CrossRef
Efficacy of a comprehensive binary classification model using a deep convolutional neural network for wireless capsule endoscopy Sang Hoon Kim, Youngbae Hwang, Dong Jun Oh, Ji Hyung Nam, Ki Bae Kim, Junseok Park, Hyun Joo Song, Yun Jeong Lim Scientific Reports.2021;[Epub] CrossRef
Artificial intelligence that determines the clinical significance of capsule endoscopy images can increase the efficiency of reading Junseok Park, Youngbae Hwang, Ji Hyung Nam, Dong Jun Oh, Ki Bae Kim, Hyun Joo Song, Su Hwan Kim, Sun Hyung Kang, Min Kyu Jung, Yun Jeong Lim, Sudipta Roy PLOS ONE.2020; 15(10): e0241474. CrossRef
EndoL2H: Deep Super-Resolution for Capsule Endoscopy Yasin Almalioglu, Kutsev Bengisu Ozyoruk, Abdulkadir Gokce, Kagan Incetan, Guliz Irem Gokceler, Muhammed Ali Simsek, Kivanc Ararat, Richard J. Chen, Nicholas J. Durr, Faisal Mahmood, Mehmet Turan IEEE Transactions on Medical Imaging.2020; 39(12): 4297. CrossRef