AIMC Topic: Cell Nucleus

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Leukocyte deep learning classification assessment using Shapley additive explanations algorithm.

International journal of laboratory hematology Feb 3, 2023
INTRODUCTION: A peripheral blood smear is a basic test for hematological disease diagnosis. This test is performed manually in many places worldwide, which requires both time and qualified staff. Large laboratories are equipped with digital morpholog...
Humans Algorithms Laboratories Cell Nucleus Deep Learning Leukocytes
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Volumetric imaging of fast cellular dynamics with deep learning enhanced bioluminescence microscopy.

Communications biology Dec 3, 2022
Bioluminescence microscopy is an appealing alternative to fluorescence microscopy, because it does not depend on external illumination, and consequently does neither produce spurious background autofluorescence, nor perturb intrinsically photosensiti...
Cytoplasm Caenorhabditis elegans Mice Microscopy, Fluorescence Animals Deep Learning Zebrafish Cell Nucleus
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UnMICST: Deep learning with real augmentation for robust segmentation of highly multiplexed images of human tissues.

Communications biology Nov 18, 2022
Upcoming technologies enable routine collection of highly multiplexed (20-60 channel), subcellular resolution images of mammalian tissues for research and diagnosis. Extracting single cell data from such images requires accurate image segmentation, a...
Humans Deep Learning Image Processing, Computer-Assisted Machine Learning Animals Mammals Cell Nucleus
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FEEDNet: a feature enhanced encoder-decoder LSTM network for nuclei instance segmentation for histopathological diagnosis.

Physics in medicine and biology Sep 28, 2022
Automated cell nuclei segmentation is vital for the histopathological diagnosis of cancer. However, nuclei segmentation from 'hematoxylin and eosin' (HE) stained 'whole slide images' (WSIs) remains a challenge due to noise-induced intensity variation...
Hematoxylin Cell Nucleus Eosine Yellowish-(YS) Neural Networks, Computer Image Processing, Computer-Assisted
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Transfer Learning Approach and Nucleus Segmentation with MedCLNet Colon Cancer Database.

Journal of digital imaging Sep 20, 2022
Machine learning has been recently used especially in the medical field. In the diagnosis of serious diseases such as cancer, deep learning techniques can be used to reduce the workload of experts and to produce quick solutions. The nuclei found in t...
Colonic Neoplasms Cell Nucleus Machine Learning Algorithms Neural Networks, Computer Humans
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Usability of deep learning pipelines for 3D nuclei identification with Stardist and Cellpose.

Cells & development Aug 25, 2022
Segmentation of 3D images to identify cells and their molecular outputs can be difficult and tedious. Machine learning algorithms provide a promising alternative to manual analysis as emerging 3D image processing technology can save considerable time...
Cell Nucleus Deep Learning Image Processing, Computer-Assisted Machine Learning Algorithms
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Detecting and Classifying Nuclei Using Multi-Scale Fully Convolutional Network.

Journal of computational biology : a journal of computational molecular cell biology Aug 18, 2022
The detection and classification of nuclei play an important role in the histopathological analysis. It aims to find out the distribution of nuclei in the histopathology images for the next step of analysis and research. However, it is very challengi...
Machine Learning Algorithms Image Processing, Computer-Assisted Cell Nucleus Neural Networks, Computer
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Attention Mask R-CNN with edge refinement algorithm for identifying circulating genetically abnormal cells.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Aug 15, 2022
Recent studies have suggested that circulating tumor cells with abnormalities in gene copy numbers in mononuclear cell-enriched peripheral blood samples, such as circulating genetically abnormal cells (CACs), can be used as a non-invasive tool to det...
Algorithms Humans In Situ Hybridization, Fluorescence Lung Neoplasms Neural Networks, Computer Cell Nucleus
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Application of the sliding window method and Mask-RCNN method to nuclear recognition in oral cytology.

Diagnostic pathology Aug 2, 2022
BACKGROUND: We aimed to develop an artificial intelligence (AI)-assisted oral cytology method, similar to cervical cytology. We focused on the detection of cell nuclei because the ratio of cell nuclei to cytoplasm increases with increasing cell malig...
Vaginal Smears Cell Nucleus Artificial Intelligence Cytoplasm Female Humans Neural Networks, Computer
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Marker-controlled watershed with deep edge emphasis and optimized H-minima transform for automatic segmentation of densely cultivated 3D cell nuclei.

BMC bioinformatics Jul 21, 2022
BACKGROUND: The segmentation of 3D cell nuclei is essential in many tasks, such as targeted molecular radiotherapies (MRT) for metastatic tumours, toxicity screening, and the observation of proliferating cells. In recent years, one popular method for...
Neural Networks, Computer Humans Algorithms Microscopy Cell Nucleus Biomarkers Image Processing, Computer-Assisted
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