[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 …

A sophisticated convolutional neural network model for brain tumor classification

NM Balasooriya, RD Nawarathna - 2017 IEEE international …, 2017 - ieeexplore.ieee.org
Magnetic Resonance Imaging (MRI) is one of the commonly used medical imaging modality
that provides informative data for brain tumor diagnosis other than Computed Tomography …

Non-local attention and densely-connected convolutional neural networks for malignancy suspiciousness classification of gastric ulcer

M Sun, K Liang, W Zhang, Q Chang, X Zhou - IEEE Access, 2020 - ieeexplore.ieee.org
Gastric ulcer is one of the most common types of stomach disease. Malignancy
suspiciousness classification of gastric ulcer is a crucial indicator for early cancer detection …

Ensemble of texture and deep learning features for finding abnormalities in the gastro-intestinal tract

S Nadeem, MA Tahir, SSA Naqvi, M Zaid - … 5-7, 2018, Proceedings, Part II …, 2018 - Springer
An endoscopy is a strategy in which a specialist utilizes specific instruments to see and work
on the inward vessels and organs of the body. This paper expects to predict the …

DCS-UNet: Dual-path framework for segmentation of reflux esophagitis lesions from endoscopic images with U-net-based segmentation and color/texture analysis

TH Tran, DH Vu, DH Tran, KL Do… - Vietnam Journal of …, 2023 - World Scientific
Automatic analysis of medical images and endoscopic images, in particular, is an attractive
research topic in recent years. To achieve this goal, many tasks must be conducted for …

Boundary delineation of reflux esophagitis lesions from endoscopic images using color and texture

DH Vu, LT Nguyen, VT Nguyen, TH Tran… - … Analysis and Pattern …, 2021 - ieeexplore.ieee.org
Automatic assessment of medical images and endoscopic images in particular is an
attractive research topic recent years. To achieve this goal, many tasks must be conducted …

Deep learning applied to automatic polyp detection in colonoscopy images

Q Liu - 2017 - openarchive.usn.no
Deep learning is an improvement to the neural network that contains more computational
layers that allow for higher levels of abstraction and prediction in the data. So far, it is …

Image texture classification using textons

Y Javed, MM Khan - 2011 7th International Conference on …, 2011 - ieeexplore.ieee.org
In this paper, we explore the use of textons for image texture classification in the context of
population density estimation. For this purpose, we have taken high resolution Google Earth …

Two-stage method for polyps segmentation in endoscopic images

NA Obukhova, AA Motyko, AA Pozdeev - Computer Vision in Control …, 2020 - Springer
An important feature of medical images is high variability, which makes it difficult to use
traditional models of machine learning and tightens the requirements for the database size …

[图书][B] Detection of temporal events and abnormal images for quality analysis in endoscopy videos

RD Nawarathna - 2013 - search.proquest.com
Recent reports suggest that measuring the objective quality is very essential towards the
success of colonoscopy. Several quality indicators (ie metrics) proposed in recent studies …