Computer-aided decision support systems for endoscopy in the gastrointestinal tract: a review

M Liedlgruber, A Uhl - IEEE reviews in biomedical engineering, 2011 - ieeexplore.ieee.org
Today, medical endoscopy is a widely used procedure to inspect the inner cavities of the
human body. The advent of endoscopic imaging techniques-allowing the acquisition of …

A survey of feature extraction and fusion of deep learning for detection of abnormalities in video endoscopy of gastrointestinal-tract

H Ali, M Sharif, M Yasmin, MH Rehmani… - Artificial Intelligence …, 2020 - Springer
A standard screening procedure involves video endoscopy of the Gastrointestinal tract. It is a
less invasive method which is practiced for early diagnosis of gastric diseases. Manual …

[PDF][PDF] Artificial intelligence and its application in different areas

A Pannu - Artificial Intelligence, 2015 - academia.edu
In the future, intelligent machines will replace or enhance human capabilities in many areas.
Artificial intelligence is the intelligence exhibited by machines or software. It is the subfield of …

[PDF][PDF] Artificial Intelligence and its Models

SS Gadde, VD Kalli - International Journal for Research in Applied …, 2021 - researchgate.net
Artificial Intelligence (AI) is the quickest developing field of software engineering and
innovation. It has accomplished an extraordinary achievement in limited ability to focus time …

[PDF][PDF] A survey on artificial intelligence approaches for medical image classification

SN Deepa, BA Devi - Indian Journal …, 2011 - sciresol.s3.us-east-2.amazonaws …
In this paper, a survey has been made on the applications of intelligent computing
techniques for diagnostic sciences in biomedical image classification. Several state-of-the …

Convolutional‐capsule network for gastrointestinal endoscopy image classification

W Wang, X Yang, X Li, J Tang - International Journal of …, 2022 - Wiley Online Library
Automated diagnosis of digestive tract diseases from gastrointestinal endoscopy images is
of high importance for improving the diagnosis accuracy and efficiency. The current …

Effect of fuzzy partitioning in Crohn's disease classification: a neuro-fuzzy-based approach

SS Ahmed, N Dey, AS Ashour, D Sifaki-Pistolla… - Medical & biological …, 2017 - Springer
Crohn's disease (CD) diagnosis is a tremendously serious health problem due to its
ultimately effect on the gastrointestinal tract that leads to the need of complex medical …

Vision transformer with hybrid shifted windows for gastrointestinal endoscopy image classification

W Wang, X Yang, J Tang - … on Circuits and Systems for Video …, 2023 - ieeexplore.ieee.org
Automated classification of gastrointestinal endoscope images can help reduce the
workload of doctors and improve the accuracy of diagnoses. The rapidly developed vision …

The convergence of artificial intelligence and blockchain: the state of play and the road ahead

D Bhumichai, C Smiliotopoulos, R Benton… - Information, 2024 - mdpi.com
Artificial intelligence (AI) and blockchain technology have emerged as increasingly
prevalent and influential elements shaping global trends in Information and …

[HTML][HTML] Detection of small bowel tumor in wireless capsule endoscopy images using an adaptive neuro-fuzzy inference system

M Alizadeh, OH Maghsoudi, K Sharzehi… - Journal of biomedical …, 2017 - ncbi.nlm.nih.gov
Automatic diagnosis tool helps physicians to evaluate capsule endoscopic examinations
faster and more accurate. The purpose of this study was to evaluate the validity and …