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Ranging of Confocal Endoscopy Probe Using Recognition and Optical Flow Algorithm
Early diagnosis is of great significance for the treatment of GI diseases. Endoscopic tissue biopsy of the GI tract is the standard means to diagnose...
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A comprehensive study to learn the impact of augmented reality and haptic interaction in ultrasound-guided percutaneous liver biopsy training and education
Simulation based training methods are gaining popularity as they could provide a platform for practitioners to gain hands-on experience without...
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Optical Coherence Elastography Needle for Biomechanical Characterization of Deep Tissue
Compression-based optical coherence elastography (OCE) enables characterization of soft tissue by estimating elastic properties. However, previous...
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Unsupervised Segmentation of Wounds in Optical Coherence Tomography Images Using Invariant Information Clustering
Monitoring wound healing with optical coherence tomography (OCT) imaging is a promising research field. So far, however, few data and even less...
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Few Shot Learning for the Classification of Confocal Laser Endomicroscopy Images of Head and Neck Tumors
The surgical removal of head and neck tumors requires safe margins, which are usually confirmed intraoperatively by means of frozen sections. This...
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FBG Tactile Sensor Integrated on Bronchoscope for Force and Contact Position Sensing
During the transbronchial lung biopsy (TBLB), the bronchoscope may easily collide with the airway, which can cause damage. In order to improve the...
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Non-invasive Optical Methods in Quantitative Minimal Erythema Dose Assessment in Vivo: Comparison of Preclinical and Clinical Data
Even in modern dermatology clinics, the determination of the severity of ultraviolet (UV)-induced erythema and assessment of individual...
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OralNet: deep learning fusion for oral cancer identification from lips and tongue images using stochastic gradient based logistic regression
Timely detection of oral cancer plays a critical role in improving survival rates. While traditional biopsy procedures can be invasive and...
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Medical instrument detection in ultrasound: a review
Medical instrument detection is essential for computer-assisted interventions, since it facilitates clinicians to find instruments efficiently with a...
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Self-attentive Adversarial Stain Normalization
Hematoxylin and Eosin (H&E) stained Whole Slide Images (WSIs) are utilized for biopsy visualization-based diagnostic and prognostic assessment of...
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Self-supervised Learning for Endoscopic Video Analysis
Self-supervised learning (SSL) has led to important breakthroughs in computer vision by allowing learning from large amounts of unlabeled data. As...
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Machine learning characterization of cancer patients-derived extracellular vesicles using vibrational spectroscopies: results from a pilot study.
AbstractThe early detection of cancer is a challenging problem in medicine. The blood sera of cancer patients are enriched with heterogeneous...
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OCR for Devanagari Script Using a Deep Hybrid CNN-RNN Network
Optical character recognition (OCR) involves the electronic transcription of handwritten, printed text from either scanned documents or any sort of...
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Experimental Evaluation of Needle Tip Prediction Using Kalman Filtering Approach
In both manual and autonomous needle steering procedures involved in percutaneous interventions, target reaching accuracy depends on feedback of the...
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Breast tumour detection using machine learning: review of selected methods from 2015 to 2021
Breast tumour is one of the leading causes of death among women worldwide. Researchers are working hard to develop early and improved detection tools...
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Smart Intelligent System for Cervix Cancer Image Classification Using Google Cloud Platform
Smart healthcare system provides clinical care condition become more intelligence. It is developed using diverse sort of information technology...
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Convolutional neural network for breast cancer diagnosis using diffuse optical tomography
We have developed a computer-aided diagnosis system based on a convolutional neural network that aims to classify breast mass lesions in optical...
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Generative Adversarial Networks for Stain Normalisation in Histopathology
The rapid growth of digital pathology in recent years has provided an ideal opportunity for the development of artificial intelligence-based tools to...
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Real-Time Lumen Detection for Autonomous Colonoscopy
Lumen detection and tracking in the large bowel is a key prerequisite step for autonomous navigation of endorobots for colonoscopy. Attempts at...