AIMC Topic: Microscopy

Clear Filters Showing 181 to 190 of 583 articles

A framework for falsifiable explanations of machine learning models with an application in computational pathology.

Medical image analysis Aug 24, 2022
In recent years, deep learning has been the key driver of breakthrough developments in computational pathology and other image based approaches that support medical diagnosis and treatment. The underlying neural networks as inherent black boxes lack ...
Humans Neural Networks, Computer Machine Learning Neoplasms Microscopy
View on PubMed DOI

Automatic detection of three cell types in a microscope image based on deep learning.

Journal of biophotonics Aug 22, 2022
With the continuous integration of deep learning and the technique of molecular biology, target detection models must accurately detect the position of each cell in the image and classify it correctly. We present a model for the multi-scale feature f...
Humans Neural Networks, Computer Machine Learning Deep Learning Image Processing, Computer-Assisted Microscopy
View on PubMed DOI

Intelligent nanoscope for rapid nanomaterial identification and classification.

Lab on a chip Aug 9, 2022
Machine learning image recognition and classification of particles and materials is a rapidly expanding field. However, nanomaterial identification and classification are dependent on the image resolution, the image field of view, and the processing ...
Neural Networks, Computer Machine Learning Nanostructures Microscopy
View on PubMed DOI

ContransGAN: Convolutional Neural Network Coupling Global Swin-Transformer Network for High-Resolution Quantitative Phase Imaging with Unpaired Data.

Cells Aug 3, 2022
Optical quantitative phase imaging (QPI) is a frequently used technique to recover biological cells with high contrast in biology and life science for cell detection and analysis. However, the quantitative phase information is difficult to directly o...
Neural Networks, Computer Algorithms Microscopy
View on PubMed DOI

Automatic analysis system for abnormal red blood cells in peripheral blood smears.

Microscopy research and technique Aug 2, 2022
The type and ratio of abnormal red blood cells (RBCs) in blood can be identified through peripheral blood smear test. Accurate classification is important because the accompanying diseases indicated by abnormal RBCs vary. In clinical practice, this t...
Machine Learning Algorithms Support Vector Machine Microscopy Erythrocytes
View on PubMed DOI

BO-ALLCNN: Bayesian-Based Optimized CNN for Acute Lymphoblastic Leukemia Detection in Microscopic Blood Smear Images.

Sensors (Basel, Switzerland) Jul 24, 2022
Acute lymphoblastic leukemia (ALL) is a deadly cancer characterized by aberrant accumulation of immature lymphocytes in the blood or bone marrow. Effective treatment of ALL is strongly associated with the early diagnosis of the disease. Current pract...
Humans Neural Networks, Computer Bayes Theorem Microscopy Precursor Cell Lymphoblastic Leukemia-Lymphoma
View on PubMed DOI

Marker-controlled watershed with deep edge emphasis and optimized H-minima transform for automatic segmentation of densely cultivated 3D cell nuclei.

BMC bioinformatics Jul 21, 2022
BACKGROUND: The segmentation of 3D cell nuclei is essential in many tasks, such as targeted molecular radiotherapies (MRT) for metastatic tumours, toxicity screening, and the observation of proliferating cells. In recent years, one popular method for...
Humans Neural Networks, Computer Algorithms Biomarkers Image Processing, Computer-Assisted Microscopy Cell Nucleus
View on PubMed DOI

Depth Estimation for Integral Imaging Microscopy Using a 3D-2D CNN with a Weighted Median Filter.

Sensors (Basel, Switzerland) Jul 15, 2022
This study proposes a robust depth map framework based on a convolutional neural network (CNN) to calculate disparities using multi-direction epipolar plane images (EPIs). A combination of three-dimensional (3D) and two-dimensional (2D) CNN-based dee...
Neural Networks, Computer Microscopy
View on PubMed DOI

Fast intraoperative histology-based diagnosis of gliomas with third harmonic generation microscopy and deep learning.

Scientific reports Jul 5, 2022
Management of gliomas requires an invasive treatment strategy, including extensive surgical resection. The objective of the neurosurgeon is to maximize tumor removal while preserving healthy brain tissue. However, the lack of a clear tumor boundary h...
Humans Deep Learning Image Processing, Computer-Assisted Glioma Microscopy Second Harmonic Generation Microscopy
View on PubMed DOI

High-throughput whole-slide scanning to enable large-scale data repository building.

The Journal of pathology Jun 8, 2022
Digital pathology and artificial intelligence (AI) rely on digitization of patient material as a necessary first step. AI development benefits from large sample sizes and diverse cohorts, and therefore efforts to digitize glass slides must meet these...
Humans Artificial Intelligence Workflow Microscopy United Kingdom
View on PubMed DOI
Popular Topics
Recent Journals