Superpoint features in endoscopy
There is often a significant gap between research results and applicability in routine medical
practice. This work studies the performance of well-known local features on a medical …
practice. This work studies the performance of well-known local features on a medical …
De-redundancy in wireless capsule endoscopy video sequences using correspondence matching and motion analysis
Handling wireless capsule endoscopy (WCE) de-redundancy is a challenging task. This
paper proposes a scheme, called SS-VCF-Der, to consider applying a flow field estimation …
paper proposes a scheme, called SS-VCF-Der, to consider applying a flow field estimation …
Designing an improved deep learning-based model for COVID-19 recognition in chest x-ray images: a knowledge distillation approach
AR BabaAhmadi, S Khalafi, M ShariatPanahi… - Iran Journal of Computer …, 2024 - Springer
The COVID-19 pandemic has had a significant impact on society, necessitating accurate
identification and suitable medical treatment. This study addresses two primary objectives …
identification and suitable medical treatment. This study addresses two primary objectives …
S2P-Matching: Self-supervised Patch-based Matching Using Transformer for Capsule Endoscopic Images Stitching
The Magnetically Controlled Capsule Endoscopy (MCCE) has a limited shooting range,
resulting in capturing numerous fragmented images and an inability to precisely locate and …
resulting in capturing numerous fragmented images and an inability to precisely locate and …
Combining deep features and hand-crafted features for abnormality detection in WCE images
In this paper, a computer-aided method is proposed for abnormality detection in Wireless
Capsule Endoscopy (WCE) video frames. Common abnormalities in WCE images include …
Capsule Endoscopy (WCE) video frames. Common abnormalities in WCE images include …
Self-supervised learning of monocular depth and ego-motion estimation for non-rigid scenes in wireless capsule endoscopy videos
C Liao, C Wang, P Wang, H Wu, H Wang - Biomedical Signal Processing …, 2024 - Elsevier
Background and objective: Gastrointestinal (GI) cancers represent the most widespread type
of cancer worldwide. Wireless capsule endoscopy (WCE), an innovative, capsule-sized …
of cancer worldwide. Wireless capsule endoscopy (WCE), an innovative, capsule-sized …
[PDF][PDF] Anatomical Region Detection Scheme Using Deep Learning Model in Video Capsule Endoscope.
S Rajagopal, T Ramakrishnan… - Intelligent Automation & …, 2022 - cdn.techscience.cn
Video capsule endoscope (VCE) is a developing methodology, which permits analysis of the
full gastrointestinal (GI) tract with minimum intrusion. Although VCE permits for profound …
full gastrointestinal (GI) tract with minimum intrusion. Although VCE permits for profound …
A Preliminary Study of Vehicle License Plate Detection and Identification
A Sanmorino, Samsuryadi - … of the 3rd International Conference on …, 2023 - Springer
In this study, the authors would like to propose vehicle license plate detection and
identification using machine learning approaches. The goal of this study is to pave the way …
identification using machine learning approaches. The goal of this study is to pave the way …
Proposing a Novel Deep Method for Detection and Localization of Anatomical Landmarks from the Endoscopic Video Frames
S Nezhad, G Tajeddin, T Khatibi, M Sohrabi - Available at SSRN 4524786 - papers.ssrn.com
There are many challenges to detecting cancer in the early stage. Among them is the
detection of early cancer regions. It is an essential step to finding the signals of early …
detection of early cancer regions. It is an essential step to finding the signals of early …