AIMC Topic: Endoscopy

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Modular force approximating soft robotic pneumatic actuator.

International journal of computer assisted radiology and surgery Aug 7, 2018
PURPOSE: Soft robots are highly flexible and adaptable instruments that have proven extremely useful, especially in the surgical environment where compliance allows for improved maneuverability throughout the body. Endoscopic devices are a primary ex...
Robotics Equipment Design Biomimetics Humans Endoscopy
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Deep learning-based detection of motion artifacts in probe-based confocal laser endomicroscopy images.

International journal of computer assisted radiology and surgery Aug 4, 2018
PURPOSE: Probe-based confocal laser endomicroscopy (pCLE) is a subcellular in vivo imaging technique capable of producing images that enable diagnosis of malign structural modifications in epithelial tissue. Images acquired with pCLE are, however, of...
Microscopy, Confocal Motion Artifacts Humans Endoscopy Deep Learning
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Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training.

IEEE transactions on medical imaging Jun 1, 2018
To realize the full potential of deep learning for medical imaging, large annotated datasets are required for training. Such datasets are difficult to acquire due to privacy issues, lack of experts available for annotation, underrepresentation of rar...
Neural Networks, Computer Humans Databases, Factual Image Processing, Computer-Assisted Endoscopy Unsupervised Machine Learning Image Interpretation, Computer-Assisted
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Automated classification of celiac disease during upper endoscopy: Status quo and quo vadis.

Computers in biology and medicine Apr 27, 2018
A large amount of digital image material is routinely captured during esophagogastroduodenoscopies but, for the most part, is not used for confirming the diagnosis process of celiac disease which is primarily based on histological examination of biop...
Celiac Disease Biopsy Image Interpretation, Computer-Assisted Observer Variation Automation Pattern Recognition, Automated Gastroscopy Humans Image Processing, Computer-Assisted Neural Networks, Computer Duodenum Diagnosis, Computer-Assisted Machine Learning Decision Making Deep Learning Algorithms Endoscopy
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Exploiting the potential of unlabeled endoscopic video data with self-supervised learning.

International journal of computer assisted radiology and surgery Apr 27, 2018
PURPOSE: Surgical data science is a new research field that aims to observe all aspects of the patient treatment process in order to provide the right assistance at the right time. Due to the breakthrough successes of deep learning-based solutions fo...
Neural Networks, Computer Algorithms Endoscopy Humans Supervised Machine Learning Video Recording
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Effective deep learning training for single-image super-resolution in endomicroscopy exploiting video-registration-based reconstruction.

International journal of computer assisted radiology and surgery Apr 23, 2018
PURPOSE: Probe-based confocal laser endomicroscopy (pCLE) is a recent imaging modality that allows performing in vivo optical biopsies. The design of pCLE hardware, and its reliance on an optical fibre bundle, fundamentally limits the image quality w...
Machine Learning Algorithms Endoscopy Humans General Surgery Image-Guided Biopsy Microscopy, Confocal Microsurgery
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Artificial intelligence may help in predicting the need for additional surgery after endoscopic resection of T1 colorectal cancer.

Endoscopy Dec 22, 2017
BACKGROUND AND STUDY AIMS: Decisions concerning additional surgery after endoscopic resection of T1 colorectal cancer (CRC) are difficult because preoperative prediction of lymph node metastasis (LNM) is problematic. We investigated whether artificia...
Endoscopy Lymphatic Metastasis Risk Assessment Japan Sensitivity and Specificity Prognosis Neoplasm Staging Diagnostic Errors Models, Theoretical Unnecessary Procedures Colorectal Neoplasms Female Male Heuristics Aged Middle Aged Humans Artificial Intelligence
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Endoscopic Image Classification and Retrieval using Clustered Convolutional Features.

Journal of medical systems Oct 30, 2017
With the growing use of minimally invasive surgical procedures, endoscopic video archives are growing at a rapid pace. Efficient access to relevant content in such huge multimedia archives require compact and discriminative visual features for indexi...
Neural Networks, Computer Multimedia Image Processing, Computer-Assisted Algorithms Information Storage and Retrieval Endoscopy Pattern Recognition, Automated
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Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning.

Scientific reports Sep 20, 2017
Oral Squamous Cell Carcinoma (OSCC) is a common type of cancer of the oral epithelium. Despite their high impact on mortality, sufficient screening methods for early diagnosis of OSCC often lack accuracy and thus OSCCs are mostly diagnosed at a late ...
Deep Learning Image Processing, Computer-Assisted Mouth Neoplasms Mouth Microscopy Carcinoma, Squamous Cell Endoscopy Sensitivity and Specificity Humans Automation, Laboratory
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Nonparametric Online Learning Control for Soft Continuum Robot: An Enabling Technique for Effective Endoscopic Navigation.

Soft robotics Aug 28, 2017
Bioinspired robotic structures comprising soft actuation units have attracted increasing research interest. Taking advantage of its inherent compliance, soft robots can assure safe interaction with external environments, provided that precise and eff...
Robotics Equipment Design Endoscopy Finite Element Analysis
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