AIMC Topic: Staining and Labeling

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Boundary-aware glomerulus segmentation: Toward one-to-many stain generalization.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Aug 12, 2022
The growing availability of scanned whole-slide images (WSIs) has allowed nephropathology to open new possibilities for medical decision-making over high-resolution images. Diagnosis of renal WSIs includes locating and identifying specific structures...
Neural Networks, Computer Kidney Coloring Agents Periodic Acid Image Processing, Computer-Assisted Staining and Labeling
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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 Neural Networks, Computer Supervised Machine Learning Mitosis Staining and Labeling
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CS-CO: A Hybrid Self-Supervised Visual Representation Learning Method for H&E-stained Histopathological Images.

Medical image analysis Jul 20, 2022
Visual representation extraction is a fundamental problem in the field of computational histopathology. Considering the powerful representation capacity of deep learning and the scarcity of annotations, self-supervised learning has emerged as a promi...
Histological Techniques Staining and Labeling Supervised Machine Learning
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MVFStain: Multiple virtual functional stain histopathology images generation based on specific domain mapping.

Medical image analysis Jun 23, 2022
To the best of our knowledge, artificial intelligence stain generation is an urgent requirement for histopathology images. Pathological examinations usually only utilize hematoxylin and eosin (H&E) regular staining to show histomorphological characte...
Humans Artificial Intelligence Ki-67 Antigen Staining and Labeling Eosine Yellowish-(YS) Coloring Agents
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High-Speed Ultraviolet Photoacoustic Microscopy for Histological Imaging with Virtual-Staining assisted by Deep Learning.

Journal of visualized experiments : JoVE Apr 28, 2022
Surgical margin analysis (SMA), an essential procedure to confirm the complete excision of cancerous tissue in tumor resection surgery, requires intraoperative diagnostic tools to avoid repeated surgeries due to a positive surgical margin. Recently, ...
Photoacoustic Techniques Deep Learning Mice Microscopy Staining and Labeling Animals Spectrum Analysis
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Swarm learning for decentralized artificial intelligence in cancer histopathology.

Nature medicine Apr 25, 2022
Artificial intelligence (AI) can predict the presence of molecular alterations directly from routine histopathology slides. However, training robust AI systems requires large datasets for which data collection faces practical, ethical and legal obsta...
Image Processing, Computer-Assisted Staining and Labeling United Kingdom Artificial Intelligence Neoplasms Humans
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Numerical learning of deep features from drug-exposed cell images to calculate IC50 without staining.

Scientific reports Apr 22, 2022
To facilitate rapid determination of cellular viability caused by the inhibitory effect of drugs, numerical deep learning algorithms was used for unlabeled cell culture images captured by a light microscope as input. In this study, A549, HEK293, and ...
Image Processing, Computer-Assisted Staining and Labeling Neural Networks, Computer Algorithms HEK293 Cells Doxorubicin Inhibitory Concentration 50 Humans
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Deep learning based on hematoxylin-eosin staining outperforms immunohistochemistry in predicting molecular subtypes of gastric adenocarcinoma.

The Journal of pathology Mar 31, 2022
In gastric cancer (GC), there are four molecular subclasses that indicate whether patients respond to chemotherapy or immunotherapy, according to the TCGA. In clinical practice, however, not every patient undergoes molecular testing. Many laboratorie...
Stomach Neoplasms Deep Learning Staining and Labeling Adenocarcinoma Humans Hematoxylin Immunohistochemistry Eosine Yellowish-(YS)
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Cell segmentation for immunofluorescence multiplexed images using two-stage domain adaptation and weakly labeled data for pre-training.

Scientific reports Mar 15, 2022
Cellular profiling with multiplexed immunofluorescence (MxIF) images can contribute to a more accurate patient stratification for immunotherapy. Accurate cell segmentation of the MxIF images is an essential step. We propose a deep learning pipeline t...
Fluorescent Antibody Technique Mice Staining and Labeling Software Humans Animals Image Processing, Computer-Assisted Neural Networks, Computer
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Deep learning identifies Acute Promyelocytic Leukemia in bone marrow smears.

BMC cancer Feb 22, 2022
BACKGROUND: Acute promyelocytic leukemia (APL) is considered a hematologic emergency due to high risk of bleeding and fatal hemorrhages being a major cause of death. Despite lower death rates reported from clinical trials, patient registry data sugge...
Bone Marrow Examination Aged Leukemia, Promyelocytic, Acute Female Middle Aged Staining and Labeling Male Reproducibility of Results Deep Learning Humans Bone Marrow Cells Retrospective Studies
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