AIMC Topic: Microscopy

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Microscope-Based Automated Quantification of Liver Fibrosis in Mice Using a Deep Learning Algorithm.

Toxicologic pathology Mar 26, 2021
In preclinical studies that involve animal models for hepatic fibrosis, accurate quantification of the fibrosis is of utmost importance. The use of digital image analysis based on deep learning artificial intelligence (AI) algorithms can facilitate a...
Artificial Intelligence Algorithms Animals Mice Deep Learning Liver Cirrhosis Microscopy
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High-Precision Assessment of Chemoradiotherapy of Rectal Cancer with Near-Infrared Photoacoustic Microscopy and Deep Learning.

Radiology Mar 23, 2021
Chemoradiotherapy Humans Deep Learning Rectal Neoplasms Microscopy
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Artificial intelligence (AI) in medicine, current applications and future role with special emphasis on its potential and promise in pathology: present and future impact, obstacles including costs and acceptance among pathologists, practical and philosophical considerations. A comprehensive review.

Diagnostic pathology Mar 17, 2021
BACKGROUND: The role of Artificial intelligence (AI) which is defined as the ability of computers to perform tasks that normally require human intelligence is constantly expanding. Medicine was slow to embrace AI. However, the role of AI in medicine ...
Humans Reproducibility of Results Attitude of Health Personnel Artificial Intelligence Image Interpretation, Computer-Assisted Practice Patterns, Physicians' Pathologists Health Knowledge, Attitudes, Practice Pathology Health Care Costs Microscopy Attitude to Computers Predictive Value of Tests Cost-Benefit Analysis
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Deep learning-based real-time detection of neurons in brain slices for in vitro physiology.

Scientific reports Mar 16, 2021
A common electrophysiology technique used in neuroscience is patch clamp: a method in which a glass pipette electrode facilitates single cell electrical recordings from neurons. Typically, patch clamp is done manually in which an electrophysiologist ...
Neurons Microscopy Microdissection Deep Learning Image Processing, Computer-Assisted Brain Animals
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Towards real-time photorealistic 3D holography with deep neural networks.

Nature Mar 10, 2021
The ability to present three-dimensional (3D) scenes with continuous depth sensation has a profound impact on virtual and augmented reality, human-computer interaction, education and training. Computer-generated holography (CGH) enables high-spatio-a...
Virtual Reality Time Factors Printing, Three-Dimensional Deep Learning Computer Systems Microscopy Datasets as Topic Holography Color Augmented Reality Neural Networks, Computer Animals Computer Graphics Optical Tweezers
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Super-Resolution Ultrasound Localization Microscopy Through Deep Learning.

IEEE transactions on medical imaging Mar 2, 2021
Ultrasound localization microscopy has enabled super-resolution vascular imaging through precise localization of individual ultrasound contrast agents (microbubbles) across numerous imaging frames. However, analysis of high-density regions with signi...
Contrast Media Microscopy Microbubbles Deep Learning Ultrasonography
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Data-efficient and weakly supervised computational pathology on whole-slide images.

Nature biomedical engineering Mar 1, 2021
Deep-learning methods for computational pathology require either manual annotation of gigapixel whole-slide images (WSIs) or large datasets of WSIs with slide-level labels and typically suffer from poor domain adaptation and interpretability. Here we...
Kidney Neoplasms Lung Neoplasms Histocytochemistry Smartphone Carcinoma, Renal Cell Microscopy Humans Carcinoma, Non-Small-Cell Lung Image Interpretation, Computer-Assisted Lymphatic Metastasis Deep Learning Area Under Curve
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Accurate and fast mitotic detection using an anchor-free method based on full-scale connection with recurrent deep layer aggregation in 4D microscopy images.

BMC bioinformatics Feb 26, 2021
BACKGROUND: To effectively detect and investigate various cell-related diseases, it is essential to understand cell behaviour. The ability to detection mitotic cells is a fundamental step in diagnosing cell-related diseases. Convolutional neural netw...
Neural Networks, Computer Microscopy Cell Physiological Phenomena
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Double-flow convolutional neural network for rapid large field of view Fourier ptychographic reconstruction.

Journal of biophotonics Feb 24, 2021
Fourier ptychographic microscopy is a promising imaging technique which can circumvent the space-bandwidth product of the system and achieve a reconstruction result with wide field-of-view (FOV), high-resolution and quantitative phase information. Ho...
Image Processing, Computer-Assisted Neural Networks, Computer Microscopy
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Deep Consensus Network: Aggregating predictions to improve object detection in microscopy images.

Medical image analysis Feb 24, 2021
Detection of cells and particles in microscopy images is a common and challenging task. In recent years, detection approaches in computer vision achieved remarkable improvements by leveraging deep learning. Microscopy images pose challenges like smal...
Microscopy Consensus Neural Networks, Computer Bayes Theorem Algorithms
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