AIMC Topic: Cytological Techniques

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Shape-to-graph mapping method for efficient characterization and classification of complex geometries in biological images.

PLoS computational biology Sep 3, 2020
With the ever-increasing quality and quantity of imaging data in biomedical research comes the demand for computational methodologies that enable efficient and reliable automated extraction of the quantitative information contained within these image...
Algorithms Cell Line, Tumor Image Processing, Computer-Assisted Humans Machine Learning Cytological Techniques Pattern Recognition, Automated Gene Knockdown Techniques Computational Biology Decision Trees Human Umbilical Vein Endothelial Cells
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Deep Learning-Based Quantification of Pulmonary Hemosiderophages in Cytology Slides.

Scientific reports Aug 3, 2020
Exercise-induced pulmonary hemorrhage (EIPH) is a common condition in sport horses with negative impact on performance. Cytology of bronchoalveolar lavage fluid by use of a scoring system is considered the most sensitive diagnostic method. Macrophage...
Single-Cell Analysis Lung Diseases Cytological Techniques Hemorrhage Horses Animals Deep Learning
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Computational Technology with Artificial Intelligence and Machine Learning: What Should a Cytologist Do with It?

Acta cytologica Jul 8, 2020
Biomedical Technology Pathology, Clinical Artificial Intelligence Machine Learning Computational Biology Cytological Techniques Technology Assessment, Biomedical Humans
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Probing the characteristics and biofunctional effects of disease-affected cells and drug response via machine learning applications.

Critical reviews in biotechnology Jul 7, 2020
Drug-induced transformations in disease characteristics at the cellular and molecular level offers the opportunity to predict and evaluate the efficacy of pharmaceutical ingredients whilst enabling the optimal design of new and improved drugs with en...
Humans Machine Learning Cells, Cultured Mice Principal Component Analysis Drug Monitoring Computer Simulation Animals Image Processing, Computer-Assisted Cytological Techniques Models, Biological Drug Evaluation, Preclinical
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Cell Line Classification Using Electric Cell-Substrate Impedance Sensing (ECIS).

The international journal of biostatistics Dec 5, 2019
We present new methods for cell line classification using multivariate time series bioimpedance data obtained from electric cell-substrate impedance sensing (ECIS) technology. The ECIS technology, which monitors the attachment and spreading of mammal...
Electric Impedance Biophysics Cytological Techniques Supervised Machine Learning Humans Animals Cell Line
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Comparing convolutional neural networks and preprocessing techniques for HEp-2 cell classification in immunofluorescence images.

Computers in biology and medicine Nov 20, 2019
Autoimmune diseases are the third highest cause of mortality in the world, and the identification of an anti-nuclear antibody via an immunofluorescence test for HEp-2 cells is a standard procedure to support diagnosis. In this work, we assess the per...
Cytological Techniques Fluorescent Antibody Technique Cellular Structures Algorithms Humans Cell Line, Tumor Neural Networks, Computer Image Processing, Computer-Assisted
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Generic Isolated Cell Image Generator.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Oct 8, 2019
Building automated cancer screening systems based on image analysis is currently a hot topic in computer vision and medical imaging community. One of the biggest challenges of such systems, especially those using state-of-the-art deep learning techni...
Urinary Bladder Neoplasms Early Detection of Cancer Cytological Techniques Urine Urothelium Humans Deep Learning Image Processing, Computer-Assisted
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GRUU-Net: Integrated convolutional and gated recurrent neural network for cell segmentation.

Medical image analysis May 31, 2019
Cell segmentation in microscopy images is a common and challenging task. In recent years, deep neural networks achieved remarkable improvements in the field of computer vision. The dominant paradigm in segmentation is using convolutional neural netwo...
Glioblastoma Humans Cytological Techniques Image Processing, Computer-Assisted Microscopy Neural Networks, Computer Models, Statistical
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Automated Classification of Apoptosis in Phase Contrast Microscopy Using Capsule Network.

IEEE transactions on medical imaging May 22, 2019
Automatic and accurate classification of apoptosis, or programmed cell death, will facilitate cell biology research. The state-of-the-art approaches in apoptosis classification use deep convolutional neural networks (CNNs). However, these networks ar...
Cells Microscopy, Phase-Contrast Image Processing, Computer-Assisted Apoptosis Cytological Techniques Humans Neural Networks, Computer Cell Line, Tumor
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Training Convolutional Neural Networks and Compressed Sensing End-to-End for Microscopy Cell Detection.

IEEE transactions on medical imaging Mar 25, 2019
Automated cell detection and localization from microscopy images are significant tasks in biomedical research and clinical practice. In this paper, we design a new cell detection and localization algorithm that combines deep convolutional neural netw...
Cytological Techniques Microscopy Mitosis Algorithms Humans Databases, Factual Neural Networks, Computer Image Processing, Computer-Assisted
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