AIMC Topic: Mitotic Index

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Mitotic Index Determination on Live Cells From Label-Free Acquired Quantitative Phase Images Using a Supervised Autoencoder.

IEEE/ACM transactions on computational biology and bioinformatics Dec 8, 2021
This interdisciplinary work focuses on the interest of a new auto-encoder for supervised classification of live cell populations growing in a thermostated imaging station and acquired by a Quantitative Phase Imaging (QPI) camera. This type of camera ...
Humans Algorithms Image Processing, Computer-Assisted Cell Cycle Mitotic Index Supervised Machine Learning Nocodazole Microscopy HeLa Cells
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A multi-phase deep CNN based mitosis detection framework for breast cancer histopathological images.

Scientific reports Mar 18, 2021
The mitotic activity index is a key prognostic measure in tumour grading. Microscopy based detection of mitotic nuclei is a significant overhead and necessitates automation. This work proposes deep CNN based multi-phase mitosis detection framework "M...
Mitosis Mitotic Index Image Processing, Computer-Assisted Datasets as Topic Humans Neoplasm Grading Automation Neural Networks, Computer Benchmarking Cell Nucleus Female Breast Neoplasms
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Use of Artificial Intelligence in the Prediction of Malignant Potential of Gastric Gastrointestinal Stromal Tumors.

Digestive diseases and sciences Feb 6, 2021
BACKGROUND AND AIMS: This study aimed to investigate whether AI via a deep learning algorithm using endoscopic ultrasonography (EUS) images could predict the malignant potential of gastric gastrointestinal stromal tumors (GISTs).
Reproducibility of Results Stomach Neoplasms Sensitivity and Specificity Prognosis Female Deep Learning Endosonography Gastrointestinal Stromal Tumors Male Middle Aged Risk Assessment Humans Artificial Intelligence Algorithms Mitotic Index
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Accuracy and efficiency of an artificial intelligence tool when counting breast mitoses.

Diagnostic pathology Jul 4, 2020
BACKGROUND: The mitotic count in breast carcinoma is an important prognostic marker. Unfortunately substantial inter- and intra-laboratory variation exists when pathologists manually count mitotic figures. Artificial intelligence (AI) coupled with wh...
Image Processing, Computer-Assisted Carcinoma, Ductal, Breast Mitotic Index Female Breast Neoplasms Deep Learning Humans
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Deep learning assisted mitotic counting for breast cancer.

Laboratory investigation; a journal of technical methods and pathology Jun 20, 2019
As part of routine histological grading, for every invasive breast cancer the mitotic count is assessed by counting mitoses in the (visually selected) region with the highest proliferative activity. Because this procedure is prone to subjectivity, th...
Mitotic Index Humans Neural Networks, Computer Prospective Studies Retrospective Studies Aged Cohort Studies Adult Female Netherlands Breast Neoplasms Reproducibility of Results Observer Variation Middle Aged Diagnosis, Computer-Assisted Deep Learning
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Investigation of genotoxic effects of paraben in cultured human lymphocytes.

Drug and chemical toxicology Dec 27, 2017
Paraben is a phenolic derivative of benzoic acid extensively used as preservatives in food, pharmaceutical, and cosmetic industries due to its antimicrobial characteristics. The objective of this study was to evaluate the in vitro genotoxic effects o...
Sister Chromatid Exchange Micronuclei, Chromosome-Defective Healthy Volunteers Mitotic Index Parabens Mutagens Humans Dose-Response Relationship, Drug Comet Assay Micronucleus Tests Cells, Cultured DNA Damage Chromosome Aberrations Lymphocytes
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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...
Eosine Yellowish-(YS) Hematoxylin Risk Mitosis Humans Receptor, ErbB-2 Mitotic Index Histocytochemistry Female Breast Neoplasms Gene Expression Biomarkers, Tumor Neoplasm Grading Support Vector Machine Image Interpretation, Computer-Assisted
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