Automatic detection of different types of small-bowel lesions on capsule endoscopy images using a newly developed deep convolutional neural network
K Otani, A Nakada, Y Kurose, R Niikura… - …, 2020 - thieme-connect.com
Background Previous computer-aided detection systems for diagnosing lesions in images
from wireless capsule endoscopy (WCE) have been limited to a single type of small-bowel …
from wireless capsule endoscopy (WCE) have been limited to a single type of small-bowel …
Automatic detection of erosions and ulcerations in wireless capsule endoscopy images based on a deep convolutional neural network
T Aoki, A Yamada, K Aoyama, H Saito, A Tsuboi… - Gastrointestinal …, 2019 - Elsevier
Background and Aims Although erosions and ulcerations are the most common small-bowel
abnormalities found on wireless capsule endoscopy (WCE), a computer-aided detection …
abnormalities found on wireless capsule endoscopy (WCE), a computer-aided detection …
Automatic detection and classification of protruding lesions in wireless capsule endoscopy images based on a deep convolutional neural network
H Saito, T Aoki, K Aoyama, Y Kato, A Tsuboi… - Gastrointestinal …, 2020 - Elsevier
Background and Aims Protruding lesions of the small bowel vary in wireless capsule
endoscopy (WCE) images, and their automatic detection may be difficult. We aimed to …
endoscopy (WCE) images, and their automatic detection may be difficult. We aimed to …
A systematic evaluation and optimization of automatic detection of ulcers in wireless capsule endoscopy on a large dataset using deep convolutional neural networks
Compared with conventional gastroscopy which is invasive and painful, wireless capsule
endoscopy (WCE) can provide noninvasive examination of gastrointestinal (GI) tract. The …
endoscopy (WCE) can provide noninvasive examination of gastrointestinal (GI) tract. The …
Improved classification and localization approach to small bowel capsule endoscopy using convolutional neural network
Background Although great advances in artificial intelligence for interpreting small bowel
capsule endoscopy (SBCE) images have been made in recent years, its practical use is still …
capsule endoscopy (SBCE) images have been made in recent years, its practical use is still …
Convolution neural network for the diagnosis of wireless capsule endoscopy: a systematic review and meta-analysis
K Qin, J Li, Y Fang, Y Xu, J Wu, H Zhang, H Li, S Liu… - Surgical …, 2022 - Springer
Background Wireless capsule endoscopy (WCE) is considered to be a powerful instrument
for the diagnosis of intestine diseases. Convolution neural network (CNN) is a type of …
for the diagnosis of intestine diseases. Convolution neural network (CNN) is a type of …
A hybrid convolutional neural network with meta feature learning for abnormality detection in wireless capsule endoscopy images
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 …
examination of gastrointestinal tracts. An intelligent computer-aided diagnostic system for …
Gastroenterologist-level identification of small-bowel diseases and normal variants by capsule endoscopy using a deep-learning model
Z Ding, H Shi, H Zhang, L Meng, M Fan, C Han… - Gastroenterology, 2019 - Elsevier
Background & Aims Capsule endoscopy has revolutionized investigation of the small bowel.
However, this technique produces a video that is 8–10 hours long, so analysis is time …
However, this technique produces a video that is 8–10 hours long, so analysis is time …
Efficacy of a comprehensive binary classification model using a deep convolutional neural network for wireless capsule endoscopy
The manual reading of capsule endoscopy (CE) videos in small bowel disease diagnosis is
time-intensive. Algorithms introduced to automate this process are premature for real clinical …
time-intensive. Algorithms introduced to automate this process are premature for real clinical …
Automatic detection of colorectal neoplasia in wireless colon capsule endoscopic images using a deep convolutional neural network
Background Although colorectal neoplasms are the most common abnormalities found in
colon capsule endoscopy (CCE), no computer-aided detection method is yet available. We …
colon capsule endoscopy (CCE), no computer-aided detection method is yet available. We …