AIMC Topic: Staining and Labeling

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Deep Learning in High-Resolution Anoscopy: Assessing the Impact of Staining and Therapeutic Manipulation on Automated Detection of Anal Cancer Precursors.

Clinical and translational gastroenterology Apr 1, 2024
INTRODUCTION: High-resolution anoscopy (HRA) is the gold standard for detecting anal squamous cell carcinoma (ASCC) precursors. Preliminary studies on the application of artificial intelligence (AI) models to this modality have revealed promising res...
Humans Predictive Value of Tests Precancerous Conditions Deep Learning Staining and Labeling Acetic Acid Proctoscopy Squamous Intraepithelial Lesions Anus Neoplasms Anal Canal Aged Adult Male Middle Aged Sensitivity and Specificity Female Carcinoma, Squamous Cell Neural Networks, Computer Algorithms
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CellViT: Vision Transformers for precise cell segmentation and classification.

Medical image analysis Mar 16, 2024
Nuclei detection and segmentation in hematoxylin and eosin-stained (H&E) tissue images are important clinical tasks and crucial for a wide range of applications. However, it is a challenging task due to nuclei variances in staining and size, overlapp...
Hematoxylin Cell Nucleus Eosine Yellowish-(YS) Image Processing, Computer-Assisted Staining and Labeling Humans Neural Networks, Computer
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NuInsSeg: A fully annotated dataset for nuclei instance segmentation in H&E-stained histological images.

Scientific data Mar 14, 2024
In computational pathology, automatic nuclei instance segmentation plays an essential role in whole slide image analysis. While many computerized approaches have been proposed for this task, supervised deep learning (DL) methods have shown superior s...
Cell Nucleus Mice Staining and Labeling Humans Animals Image Processing, Computer-Assisted Machine Learning
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Virtual staining for histology by deep learning.

Trends in biotechnology Mar 13, 2024
In pathology and biomedical research, histology is the cornerstone method for tissue analysis. Currently, the histological workflow consumes plenty of chemicals, water, and time for staining procedures. Deep learning is now enabling digital replaceme...
Humans Image Processing, Computer-Assisted Staining and Labeling Neural Networks, Computer Deep Learning
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Virtual histological staining of unlabeled autopsy tissue.

Nature communications Feb 23, 2024
Traditional histochemical staining of post-mortem samples often confronts inferior staining quality due to autolysis caused by delayed fixation of cadaver tissue, and such chemical staining procedures covering large tissue areas demand substantial la...
Hematoxylin Staining and Labeling Eosine Yellowish-(YS) Neural Networks, Computer
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Quantitative assessment of H&E staining for pathology: development and clinical evaluation of a novel system.

Diagnostic pathology Feb 23, 2024
BACKGROUND: Staining tissue samples to visualise cellular detail and tissue structure is at the core of pathology diagnosis, but variations in staining can result in significantly different appearances of the tissue sample. While the human visual sys...
Artificial Intelligence Staining and Labeling Humans Hematoxylin Coloring Agents Eosine Yellowish-(YS)
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Bias reduction using combined stain normalization and augmentation for AI-based classification of histological images.

Computers in biology and medicine Feb 8, 2024
Artificial intelligence (AI)-assisted diagnosis is an ongoing revolution in pathology. However, a frequent drawback of AI models is their propension to make decisions based rather on bias in training dataset than on concrete biological features, thus...
Multicenter Studies as Topic Coloring Agents Breast Neoplasms Staining and Labeling Machine Learning Female Humans Artificial Intelligence
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Current Landscape of Advanced Imaging Tools for Pathology Diagnostics.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Feb 3, 2024
Histopathology relies on century-old workflows of formalin fixation, paraffin embedding, sectioning, and staining tissue specimens on glass slides. Despite being robust, this conventional process is slow, labor-intensive, and limited to providing two...
Artificial Intelligence Staining and Labeling Humans Formaldehyde Microscopy
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A Laplacian Pyramid Based Generative H&E Stain Augmentation Network.

IEEE transactions on medical imaging Feb 2, 2024
Hematoxylin and Eosin (H&E) staining is a widely used sample preparation procedure for enhancing the saturation of tissue sections and the contrast between nuclei and cytoplasm in histology images for medical diagnostics. However, various factors, su...
Staining and Labeling Cytoplasm Machine Learning Eosine Yellowish-(YS) Image Processing, Computer-Assisted
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From Staining Techniques to Artificial Intelligence: A Review of Colorectal Polyps Characterization.

Medicina (Kaunas, Lithuania) Jan 3, 2024
This review article provides a comprehensive overview of the evolving techniques in image-enhanced endoscopy (IEE) for the characterization of colorectal polyps, and the potential of artificial intelligence (AI) in revolutionizing the diagnostic accu...
Biopsy Learning Humans Colonic Polyps Staining and Labeling Artificial Intelligence
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