AIMC Topic: Metaphase

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Classification of analyzable metaphase images using transfer learning and fine tuning.

Medical & biological engineering & computing Nov 25, 2021
Chromosomes are bodies that contain human genetic information. Chromosomal disorders can cause structural and functional disorders in individuals. Detecting the metaphase stages of the cells accurately is a crucial step to detect possible defects in ...
Humans Neural Networks, Computer Deep Learning Metaphase
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A robust deep learning-based multiclass segmentation method for analyzing human metaphase II oocyte images.

Computer methods and programs in biomedicine Jan 19, 2021
BACKGROUND AND OBJECTIVE: The morphology of the human metaphase II (MII) oocyte is an essential indicator of the embryo's potential for developing into a healthy baby in the Intra-Cytoplasmic Sperm Injection (ICSI) process. In this case, characterist...
Humans Deep Learning Embryo Implantation Oocytes Sperm Injections, Intracytoplasmic Metaphase
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DeepACEv2: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks.

IEEE transactions on medical imaging Nov 30, 2020
Chromosome enumeration is an essential but tedious procedure in karyotyping analysis. To automate the enumeration process, we develop a chromosome enumeration framework, DeepACEv2, based on the region based object detection scheme. The framework is d...
Neural Networks, Computer Chromosomes Karyotyping Metaphase
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An Integral R-Banded Karyotype Analysis System of Bone Marrow Metaphases Based on Deep Learning.

Archives of pathology & laboratory medicine Aug 1, 2024
CONTEXT.—: Conventional karyotype analysis, which provides comprehensive cytogenetic information, plays a significant role in the diagnosis and risk stratification of hematologic neoplasms. The main limitations of this approach include long turnaroun...
Humans Hematologic Neoplasms Deep Learning Bone Marrow Karyotyping Metaphase Chromosome Banding
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[Application of convolutional neural networks for the classification of metaphase chromosomes].

Zhonghua yi xue yi chuan xue za zhi = Zhonghua yixue yichuanxue zazhi = Chinese journal of medical genetics Mar 10, 2024
OBJECTIVE: To train a deep convolutional neural networks (CNN) using a labeled data set to classify the metaphase chromosomes and test its accuracy for chromosomal identification.
Humans Neural Networks, Computer Child Family Chromosomes Karyotyping Metaphase
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The implementation of artificial intelligence to the low-cost metaphase finder.

Radiation protection dosimetry Sep 18, 2023
Biological dosimetry is used to estimate one's dose by biological phenomena. The most popular and 'gold standard' phenomenon is the appearance of dicentric chromosomes in metaphases. The metaphase finder is a tool for biological dosimetry that finds ...
Artificial Intelligence Image Processing, Computer-Assisted Glass Metaphase
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THE PROJECT OF ANOTHER LOW-COST METAPHASE FINDER (SECOND REPORT-APPLICATION OF ARTIFICIAL INTELLIGENCE).

Radiation protection dosimetry Dec 31, 2019
Biological dosimetry is used to estimate individual absorbed radiation dose by quantifying an appropriate biological marker. The most popular gold-standard marker is the appearance of dicentric chromosomes in metaphase. The metaphase finder is a tool...
Humans Artificial Intelligence Software Lymphocytes Microscopy Radiation Dosage Chromosome Aberrations Cytogenetic Analysis Metaphase
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