Convolutional‐capsule network for gastrointestinal endoscopy image classification
Automated diagnosis of digestive tract diseases from gastrointestinal endoscopy images is
of high importance for improving the diagnosis accuracy and efficiency. The current …
of high importance for improving the diagnosis accuracy and efficiency. The current …
A convolutional neural network with meta-feature learning for wireless capsule endoscopy image classification
Abstract Purpose Wireless Capsule Endoscopy is a widely used method for gastrointestinal
tract inspection. Automatic gastrointestinal abnormality detection systems face a key issue of …
tract inspection. Automatic gastrointestinal abnormality detection systems face a key issue of …
GastroNet: A robust attention‐based deep learning and cosine similarity feature selection framework for gastrointestinal disease classification from endoscopic images
Diseases of the Gastrointestinal (GI) tract significantly affect the quality of human life and
have a high fatality rate. Accurate diagnosis of GI diseases plays a pivotal role in healthcare …
have a high fatality rate. Accurate diagnosis of GI diseases plays a pivotal role in healthcare …
Deep convolutional neural networks with ensemble learning and transfer learning for automated detection of gastrointestinal diseases
Q Su, F Wang, D Chen, G Chen, C Li, L Wei - Computers in Biology and …, 2022 - Elsevier
Gastrointestinal (GI) diseases are serious health threats to human health, and the related
detection and treatment of gastrointestinal diseases place a huge burden on medical …
detection and treatment of gastrointestinal diseases place a huge burden on medical …
[HTML][HTML] Overview of deep learning in gastrointestinal endoscopy
JK Min, MS Kwak, JM Cha - Gut and liver, 2019 - ncbi.nlm.nih.gov
Artificial intelligence is likely to perform several roles currently performed by humans, and
the adoption of artificial intelligence-based medicine in gastroenterology practice is …
the adoption of artificial intelligence-based medicine in gastroenterology practice is …
Gastrointestinal diseases recognition: a framework of deep neural network and improved moth-crow optimization with dcca fusion
MA Khan, K Muhammad, SH Wang, S Alsubai… - 2022 - figshare.le.ac.uk
Wireless capsule endoscopy (WCE), the most efficient technology, is used in the endoscopic
department for the examination of gastrointestinal (GI) diseases such as a poly and ulcer …
department for the examination of gastrointestinal (GI) diseases such as a poly and ulcer …
Fisher encoding of convolutional neural network features for endoscopic image classification
G Wimmer, A Vécsei, M Häfner… - Journal of Medical …, 2018 - spiedigitallibrary.org
We propose an approach for the automated diagnosis of celiac disease (CD) and colonic
polyps (CP) based on applying Fisher encoding to the activations of convolutional layers. In …
polyps (CP) based on applying Fisher encoding to the activations of convolutional layers. In …
Classification of gastrointestinal images based on transfer learning and denoising convolutional neural networks
A Ahmed - Proceedings of International Conference on Data …, 2022 - Springer
Computer-aided diagnosis systems have become a common approach in helping doctors to
diagnose and recognise various diseases more quickly. Medical image classification which …
diagnose and recognise various diseases more quickly. Medical image classification which …
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 …
Gastrointestinal disease classification in endoscopic images using attention-guided convolutional neural networks
ZM Lonseko, PE Adjei, W Du, C Luo, D Hu, L Zhu… - Applied Sciences, 2021 - mdpi.com
Gastrointestinal (GI) diseases constitute a leading problem in the human digestive system.
Consequently, several studies have explored automatic classification of GI diseases as a …
Consequently, several studies have explored automatic classification of GI diseases as a …
相关搜索
- gastrointestinal endoscopy image classification
- convolutional capsule network
- image classification fisher encoding
- image classification adaptive aggregation
- image classification self attention
- wireless capsule endoscopy images
- disease classification endoscopic images
- robust attention endoscopic images
- gastrointestinal disease classification
- gastrointestinal images transfer learning
- deep learning gastrointestinal endoscopy
- convolutional neural network
- disease classification robust attention