AIMC Topic: Mitosis

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Integrating machine learning models with multi-omics analysis to decipher the prognostic significance of mitotic catastrophe heterogeneity in bladder cancer.

Biology direct Apr 21, 2025
BACKGROUND: Mitotic catastrophe is well-known as a major pathway of endogenous tumor death, but the prognostic significance of its heterogeneity regarding bladder cancer (BLCA) remains unclear.
Humans Machine Learning Gene Expression Regulation, Neoplastic Urinary Bladder Neoplasms Mitosis Prognosis Multiomics
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Label-Free Exosomal SERS Detection Assisted by Machine Learning for Accurately Discriminating Cell Cycle Stages and Revealing the Molecular Mechanisms during the Mitotic Process.

Analytical chemistry Feb 25, 2025
Cell cycle analysis is crucial for disease diagnosis and treatment, especially for investigating cell heterogeneity and regulating cell behaviors. Exosomes are highly appealing as noninvasive biomarkers for monitoring real-time changes in the cell cy...
Spectrum Analysis, Raman Discriminant Analysis Exosomes Humans Machine Learning Mitosis HeLa Cells Cell Cycle
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Machine Learning Identification and Classification of Mitosis and Migration of Cancer Cells in a Lab-on-CMOS Capacitance Sensing Platform.

IEEE journal of biomedical and health informatics Feb 10, 2025
Cell culture assays play a vital role in various fields of biology. Conventional assay techniques like immunohistochemistry, immunofluorescence, and flow cytometry offer valuable insights into cell phenotype and behavior. However, each of these techn...
Machine Learning Mitosis Cell Line, Tumor Electric Capacitance Cell Movement Lab-On-A-Chip Devices Single-Cell Analysis Humans
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Transferable deep learning with coati optimization algorithm based mitotic nuclei segmentation and classification model.

Scientific reports Dec 19, 2024
Image processing and pattern recognition methods have recently been extensively implemented in histopathological images (HIs). These computer-aided techniques are aimed at detecting the attentive biological markers for assisting the final cancer grad...
Cell Nucleus Mitosis Deep Learning Image Processing, Computer-Assisted Humans Algorithms Neoplasms
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A deep learning framework deploying segment anything to detect pan-cancer mitotic figures from haematoxylin and eosin-stained slides.

Communications biology Dec 19, 2024
Mitotic activity is an important feature for grading several cancer types. However, counting mitotic figures (cells in division) is a time-consuming and laborious task prone to inter-observer variation. Inaccurate recognition of MFs can lead to incor...
Eosine Yellowish-(YS) Hematoxylin Staining and Labeling Mitosis Humans Neoplasms Deep Learning Image Processing, Computer-Assisted
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Artificial intelligence-based automated determination in breast and colon cancer and distinction between atypical and typical mitosis using a cloud-based platform.

Pathology oncology research : POR Oct 30, 2024
Artificial intelligence (AI) technology in pathology has been utilized in many areas and requires supervised machine learning. Notably, the annotations that define the ground truth for the identification of different confusing process pathologies, va...
Mitosis Breast Neoplasms Artificial Intelligence Image Processing, Computer-Assisted Humans Colonic Neoplasms Female Neural Networks, Computer Image Interpretation, Computer-Assisted
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ConvNext Mitosis Identification-You Only Look Once (CNMI-YOLO): Domain Adaptive and Robust Mitosis Identification in Digital Pathology.

Laboratory investigation; a journal of technical methods and pathology Sep 2, 2024
In digital pathology, accurate mitosis detection in histopathological images is critical for cancer diagnosis and prognosis. However, this remains challenging due to the inherent variability in cell morphology and the domain shift problem. This study...
Image Interpretation, Computer-Assisted Neoplasms Humans Mitosis Deep Learning
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Automatic classification of normal and abnormal cell division using deep learning.

Scientific reports Jun 20, 2024
In recent years, there has been a surge in the development of methods for cell segmentation and tracking, with initiatives like the Cell Tracking Challenge driving progress in the field. Most studies focus on regular cell population videos in which c...
Humans Deep Learning Mitosis Cell Division Image Processing, Computer-Assisted Cell Tracking
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D-MAINS: A Deep-Learning Model for the Label-Free Detection of Mitosis, Apoptosis, Interphase, Necrosis, and Senescence in Cancer Cells.

Cells Jun 8, 2024
BACKGROUND: Identifying cells engaged in fundamental cellular processes, such as proliferation or living/death statuses, is pivotal across numerous research fields. However, prevailing methods relying on molecular biomarkers are constrained by high c...
Necrosis Interphase Humans Cellular Senescence Mitosis Cell Line, Tumor Neoplasms Image Processing, Computer-Assisted Deep Learning Apoptosis
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Automatic detection of cell-cycle stages using recurrent neural networks.

PloS one Mar 11, 2024
Mitosis is the process by which eukaryotic cells divide to produce two similar daughter cells with identical genetic material. Research into the process of mitosis is therefore of critical importance both for the basic understanding of cell biology a...
Mitosis Neural Networks, Computer
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