AIMC Topic: Eosine Yellowish-(YS)

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Prediction of Epidermal Growth Factor Receptor Mutation Subtypes in Non-Small Cell Lung Cancer From Hematoxylin and Eosin-Stained Slides Using Deep Learning.

Laboratory investigation; a journal of technical methods and pathology Jun 11, 2024
Accurate assessment of epidermal growth factor receptor (EGFR) mutation status and subtype is critical for the treatment of non-small cell lung cancer patients. Conventional molecular testing methods for detecting EGFR mutations have limitations. In ...
Lung Neoplasms Carcinoma, Non-Small-Cell Lung Humans Middle Aged Female Deep Learning Aged Male Mutation ErbB Receptors Eosine Yellowish-(YS) Hematoxylin
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DeepDOF-SE: affordable deep-learning microscopy platform for slide-free histology.

Nature communications Apr 5, 2024
Histopathology plays a critical role in the diagnosis and surgical management of cancer. However, access to histopathology services, especially frozen section pathology during surgery, is limited in resource-constrained settings because preparing sli...
Eosine Yellowish-(YS) Hematoxylin Fluorescent Dyes Microscopy Deep Learning
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Registered multi-device/staining histology image dataset for domain-agnostic machine learning models.

Scientific data Apr 3, 2024
Variations in color and texture of histopathology images are caused by differences in staining conditions and imaging devices between hospitals. These biases decrease the robustness of machine learning models exposed to out-of-domain data. To address...
Machine Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Histology Staining and Labeling Eosine Yellowish-(YS) Histological Techniques
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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...
Cell Nucleus Eosine Yellowish-(YS) Hematoxylin Image Processing, Computer-Assisted Staining and Labeling Humans Neural Networks, Computer
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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 Neural Networks, Computer Eosine Yellowish-(YS)
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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...
Humans Artificial Intelligence Staining and Labeling Hematoxylin Coloring Agents Eosine Yellowish-(YS)
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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...
Image Processing, Computer-Assisted Staining and Labeling Cytoplasm Eosine Yellowish-(YS) Machine Learning
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Dual contrastive learning based image-to-image translation of unstained skin tissue into virtually stained H&E images.

Scientific reports Jan 28, 2024
Staining is a crucial step in histopathology that prepares tissue sections for microscopic examination. Hematoxylin and eosin (H&E) staining, also known as basic or routine staining, is used in 80% of histopathology slides worldwide. To enhance the h...
Eosine Yellowish-(YS) Microscopy Hazardous Substances Artificial Intelligence
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One label is all you need: Interpretable AI-enhanced histopathology for oncology.

Seminars in cancer biology Oct 11, 2023
Artificial Intelligence (AI)-enhanced histopathology presents unprecedented opportunities to benefit oncology through interpretable methods that require only one overall label per hematoxylin and eosin (H&E) slide with no tissue-level annotations. We...
Medical Oncology Eosine Yellowish-(YS) Artificial Intelligence Reproducibility of Results Chromosomal Instability Humans
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Improved accuracy in colorectal cancer tissue decomposition through refinement of established deep learning solutions.

Scientific reports Sep 23, 2023
Hematoxylin and eosin-stained biopsy slides are regularly available for colorectal cancer patients. These slides are often not used to define objective biomarkers for patient stratification and treatment selection. Standard biomarkers often pertain t...
Biopsy Genetic Testing Colorectal Neoplasms Eosine Yellowish-(YS) Humans Deep Learning
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