AIMC Topic: Mitosis

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Multi CNN based automatic detection of mitotic nuclei in breast histopathological images.

Computers in biology and medicine Mar 22, 2023
In breast cancer diagnosis, the number of mitotic cells in a specific area is an important measure. It indicates how far the tumour has spread, which has consequences for forecasting the aggressiveness of cancer. Mitosis counting is a time-consuming ...
Humans Neural Networks, Computer Breast Female Breast Neoplasms Cell Nucleus Mitosis
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A generalizable and robust deep learning algorithm for mitosis detection in multicenter breast histopathological images.

Medical image analysis Nov 23, 2022
Mitosis counting of biopsies is an important biomarker for breast cancer patients, which supports disease prognostication and treatment planning. Developing a robust mitotic cell detection model is highly challenging due to its complex growth pattern...
Breast Humans Mitosis Algorithms Deep Learning Image Processing, Computer-Assisted Reproducibility of Results
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Identification of Human Cell Cycle Phase Markers Based on Single-Cell RNA-Seq Data by Using Machine Learning Methods.

BioMed research international Aug 13, 2022
The cell cycle is composed of a series of ordered, highly regulated processes through which a cell grows and duplicates its genome and eventually divides into two daughter cells. According to the complex changes in cell structure and biosynthesis, th...
Humans Machine Learning Cell Cycle Mitosis Biomarkers RNA-Seq
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Transformer-based unsupervised contrastive learning for histopathological image classification.

Medical image analysis Jul 30, 2022
A large-scale and well-annotated dataset is a key factor for the success of deep learning in medical image analysis. However, assembling such large annotations is very challenging, especially for histopathological images with unique characteristics (...
Humans Supervised Machine Learning Mitosis Neural Networks, Computer Staining and Labeling
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A Two-Phase Mitosis Detection Approach Based on U-Shaped Network.

BioMed research international Oct 5, 2021
This paper proposes a deep learning-based method for mitosis detection in breast histopathology images. A main problem in mitosis detection is that most of the datasets only have weak labels, i.e., only the coordinates indicating the center of the mi...
Breast Neoplasms Algorithms Mitosis Humans Female Neural Networks, Computer
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Grading of invasive breast carcinoma: the way forward.

Virchows Archiv : an international journal of pathology Jul 1, 2021
Histologic grading has been a simple and inexpensive method to assess tumor behavior and prognosis of invasive breast cancer grading, thereby identifying patients at risk for adverse outcomes, who may be eligible for (neo)adjuvant therapies. Histolog...
Pathologists Mitosis Artificial Intelligence Female Breast Neoplasms Neoplasm Grading Reproducibility of Results Humans
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A Cascade of 2.5D CNN and Bidirectional CLSTM Network for Mitotic Cell Detection in 4D Microscopy Image.

IEEE/ACM transactions on computational biology and bioinformatics Apr 6, 2021
Mitosis detection is one of the challenging steps in biomedical imaging research, which can be used to observe the cell behavior. Most of the already existing methods that are applied in detecting mitosis usually contain many nonmitotic events (norma...
Mitosis Imaging, Three-Dimensional Microscopy Humans Cells, Cultured Deep Learning Neural Networks, Computer
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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...
Female Mitotic Index Humans Neoplasm Grading Image Processing, Computer-Assisted Cell Nucleus Breast Neoplasms Datasets as Topic Neural Networks, Computer Benchmarking Automation Mitosis
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A deep learning approach for mitosis detection: Application in tumor proliferation prediction from whole slide images.

Artificial intelligence in medicine Mar 6, 2021
The tumor proliferation, which is correlated with tumor grade, is a crucial biomarker indicative of breast cancer patients' prognosis. The most commonly used method in predicting tumor proliferation speed is the counting of mitotic figures in Hematox...
Reproducibility of Results Breast Neoplasms Cell Proliferation Deep Learning Humans Mitosis Female
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Attention-Guided Multi-Branch Convolutional Neural Network for Mitosis Detection From Histopathological Images.

IEEE journal of biomedical and health informatics Feb 5, 2021
Mitotic count is an important indicator for assessing the invasiveness of breast cancers. Currently, the number of mitoses is manually counted by pathologists, which is both tedious and time-consuming. To address this situation, we propose a fast and...
Attention Mitosis Female Humans Breast Neoplasms Neural Networks, Computer
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