Application of artificial intelligence to gastroenterology and hepatology

C Le Berre, WJ Sandborn, S Aridhi, MD Devignes… - Gastroenterology, 2020 - Elsevier
Since 2010, substantial progress has been made in artificial intelligence (AI) and its
application to medicine. AI is explored in gastroenterology for endoscopic analysis of …

Software for enhanced video capsule endoscopy: challenges for essential progress

DK Iakovidis, A Koulaouzidis - Nature Reviews Gastroenterology & …, 2015 - nature.com
Video capsule endoscopy (VCE) has revolutionized the diagnostic work-up in the field of
small bowel diseases. Furthermore, VCE has the potential to become the leading screening …

Wireless capsule endoscopy: A new tool for cancer screening in the colon with deep-learning-based polyp recognition

X Jia, X Xing, Y Yuan, L Xing… - Proceedings of the …, 2019 - ieeexplore.ieee.org
Accurate recognition of polyps is crucial for early colorectal cancer diagnosis and treatment.
Wireless capsule endoscopy (WCE) is a noninvasive, wireless imaging tool that allows …

Improved bag of feature for automatic polyp detection in wireless capsule endoscopy images

Y Yuan, B Li, MQH Meng - IEEE Transactions on automation …, 2015 - ieeexplore.ieee.org
Wireless capsule endoscopy (WCE) needs computerized method to reduce the review time
for its large image data. In this paper, we propose an improved bag of feature (BoF) method …

[HTML][HTML] Polyp detection and segmentation from video capsule endoscopy: A review

VBS Prasath - Journal of Imaging, 2016 - mdpi.com
Video capsule endoscopy (VCE) is used widely nowadays for visualizing the gastrointestinal
(GI) tract. Capsule endoscopy exams are prescribed usually as an additional monitoring …

[HTML][HTML] Directional wavelet based features for colonic polyp classification

G Wimmer, T Tamaki, JJW Tischendorf, M Häfner… - Medical image …, 2016 - Elsevier
In this work, various wavelet based methods like the discrete wavelet transform, the dual-
tree complex wavelet transform, the Gabor wavelet transform, curvelets, contourlets and …

Gastrointestinal diseases classification based on deep learning and transfer learning mechanism

Y Oukdach, Z Kerkaou, M El Ansari… - … on wireless networks …, 2022 - ieeexplore.ieee.org
Wireless capsule endoscopy (WCE) is a non-surgical diagnostic procedure enabling the
examination of the whole human gastrointestinal tract. Thus, a patient swallows a capsule …

Local fractal dimension based approaches for colonic polyp classification

M Häfner, T Tamaki, S Tanaka, A Uhl, G Wimmer… - Medical image …, 2015 - Elsevier
This work introduces texture analysis methods that are based on computing the local fractal
dimension (LFD; or also called the local density function) and applies them for colonic polyp …

LPNet: A lightweight CNN with discrete wavelet pooling strategies for colon polyps classification

P Sharma, D Das, A Gautam… - International Journal of …, 2023 - Wiley Online Library
The traditional process of disease diagnosis from medical images follows a manual process,
which is tedious and arduous. A computer‐aided diagnosis (CADs) system can work as an …

Computer-aided diagnostic tool for classification of colonic polyp assessment

WS Liew, TB Tang, CK Lu - … Conference on Artificial Intelligence for Smart …, 2022 - Springer
Colorectal cancer is the third most common malignancy and the fourth leading cause of
cancer-related deaths worldwide. This paper presents a combination of techniques (eg, pre …