AIMC Topic: Mitosis

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Automated classification and characterization of the mitotic spindle following knockdown of a mitosis-related protein.

BMC bioinformatics Dec 28, 2017
BACKGROUND: Cell division (mitosis) results in the equal segregation of chromosomes between two daughter cells. The mitotic spindle plays a pivotal role in chromosome alignment and segregation during metaphase and anaphase. Structural or functional e...
Humans Mitosis Spindle Apparatus
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Efficient deep learning model for mitosis detection using breast histopathology images.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Dec 16, 2017
Mitosis detection is one of the critical factors of cancer prognosis, carrying significant diagnostic information required for breast cancer grading. It provides vital clues to estimate the aggressiveness and the proliferation rate of the tumour. The...
Humans Algorithms Supervised Machine Learning Coloring Agents Mitosis Eosine Yellowish-(YS) Hematoxylin Female Breast Neoplasms Image Processing, Computer-Assisted Fluorescent Dyes
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Reconstructing cell cycle and disease progression using deep learning.

Nature communications Sep 6, 2017
We show that deep convolutional neural networks combined with nonlinear dimension reduction enable reconstructing biological processes based on raw image data. We demonstrate this by reconstructing the cell cycle of Jurkat cells and disease progressi...
Mitosis Cell Division DNA Flow Cytometry Jurkat Cells Cell Cycle Humans Diabetic Retinopathy Computer Simulation Reproducibility of Results Disease Progression Neural Networks, Computer Machine Learning
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Two-phase deep convolutional neural network for reducing class skewness in histopathological images based breast cancer detection.

Computers in biology and medicine Apr 18, 2017
Different types of breast cancer are affecting lives of women across the world. Common types include Ductal carcinoma in situ (DCIS), Invasive ductal carcinoma (IDC), Tubular carcinoma, Medullary carcinoma, and Invasive lobular carcinoma (ILC). While...
Humans Histocytochemistry Mitosis Breast Neoplasms ROC Curve Image Interpretation, Computer-Assisted Cell Nucleus Neural Networks, Computer Machine Learning Algorithms Female
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A deep learning based strategy for identifying and associating mitotic activity with gene expression derived risk categories in estrogen receptor positive breast cancers.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Feb 13, 2017
The treatment and management of early stage estrogen receptor positive (ER+) breast cancer is hindered by the difficulty in identifying patients who require adjuvant chemotherapy in contrast to those that will respond to hormonal therapy. To distingu...
Biomarkers, Tumor Support Vector Machine Gene Expression Neoplasm Grading Humans Female Breast Neoplasms Mitosis Mitotic Index Eosine Yellowish-(YS) Hematoxylin Image Interpretation, Computer-Assisted Receptor, ErbB-2 Histocytochemistry Risk
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Impact of chromogranin A, differentiation, and mitoses in nonfunctional pancreatic neuroendocrine tumors ≤ 2 cm.

The Journal of surgical research Dec 29, 2016
BACKGROUND: Small pancreatic neuroendocrine tumors (PNETs) are a unique subset of pancreatic neoplasms. Chromogranin A (CgA) levels, mitotic rate, and histologic differentiation are often used to characterize PNET behavior. This study evaluates the i...
Survival Analysis Aged Multivariate Analysis Aged, 80 and over Databases, Factual Propensity Score Young Adult Mitosis Prognosis Logistic Models Chromogranin A Biomarkers, Tumor Adult Retrospective Studies Neuroendocrine Tumors Male Humans Pancreatic Neoplasms Female Middle Aged Cell Differentiation Adolescent Neoplasm Staging
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An open-source solution for advanced imaging flow cytometry data analysis using machine learning.

Methods (San Diego, Calif.) Sep 2, 2016
Imaging flow cytometry (IFC) enables the high throughput collection of morphological and spatial information from hundreds of thousands of single cells. This high content, information rich image data can in theory resolve important biological differe...
Image Cytometry Software Reproducibility of Results Image Processing, Computer-Assisted Flow Cytometry Jurkat Cells Mitosis Interphase Cell Count Workflow Humans Machine Learning
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Adaptive Dimensionality Reduction with Semi-Supervision (AdDReSS): Classifying Multi-Attribute Biomedical Data.

PloS one Jul 15, 2016
Medical diagnostics is often a multi-attribute problem, necessitating sophisticated tools for analyzing high-dimensional biomedical data. Mining this data often results in two crucial bottlenecks: 1) high dimensionality of features used to represent ...
Algorithms Female Breast Neoplasms Humans Artificial Intelligence Breast Pattern Recognition, Automated Ovary Mitosis Male Proteomics Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Gene Expression Regulation, Neoplastic Ovarian Neoplasms Prostatic Neoplasms Prostate
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AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images.

IEEE transactions on medical imaging Feb 11, 2016
The lack of publicly available ground-truth data has been identified as the major challenge for transferring recent developments in deep learning to the biomedical imaging domain. Though crowdsourcing has enabled annotation of large scale databases f...
Crowdsourcing Video Games Internet Image Interpretation, Computer-Assisted Histocytochemistry Mitosis Machine Learning Female Breast Neoplasms Humans Neural Networks, Computer
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Towards semantic-driven high-content image analysis: an operational instantiation for mitosis detection in digital histopathology.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Oct 2, 2014
This study concerns a novel symbolic cognitive vision framework emerged from the Cognitive Microscopy (MICO(1)) initiative. MICO aims at supporting the evolution towards digital pathology, by studying cognitive clinical-compliant protocols involving ...
Cell Nucleus Image Enhancement Mitosis Histological Techniques Microscopy Software Algorithms Female Reproducibility of Results Sensitivity and Specificity Humans Machine Learning Breast Neoplasms Image Interpretation, Computer-Assisted User-Computer Interface Neoplasm Grading Semantics Signal Processing, Computer-Assisted Pattern Recognition, Automated
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