Color normalization of faded H&E-stained histological images using spectral matching
Histological samples stained with hematoxylin-eosin (H&E) are commonly used by pathologists in cancer diagnoses. However, the preparation, digitization, and storage of tissue samples can lead to color variations that produce poor performance when using histological image processing techniques.
Azevedo Tosta, Thaina A. +3 more
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Single color digital H&E staining with In-and-Out Net
Virtual staining streamlines traditional staining procedures by digitally generating stained images from unstained or differently stained images. While conventional staining methods involve time-consuming chemical processes, virtual staining offers an efficient and low infrastructure alternative. Leveraging microscopy-based techniques, such as confocal
Chen, Mengkun +8 more
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Modified Cajal's trichrome stain as a diagnostic aid in the study of epithelial pathology
Background: Diagnosis of initial epithelial pathology maybe difficult in Squamous Cell Carcinoma (SCC), Carcinoma In Situ and other atypical epithelial malignancies, under routine Haematoxylin and Eosin (H and E) stain.
Karpagaselvi Sanjai +3 more
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Effects of obesity on the healing of bone fracture in mice
Background Obesity affects bone health to varying degrees, depending on the skeletal site (weight-bearing or non-weight-bearing) and compartment (cortical or trabecular), and is a risk factor for orthopedic disorders, including bone fractures.
Feng Gao +3 more
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Impact of H&E Stain Normalization on Deep Learning Models in Cancer Image Classification: Performance, Complexity, and Trade-Offs. [PDF]
Madusanka N +4 more
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Comparison of Special Stains for Analysing the Morphology of Sperm: A Cross-sectional Study [PDF]
Introduction: In India, male infertility constitutes 40% of infertility cases in males, which has become a serious problem in developing countries. Numerous studies and advanced techniques have been identified in assessing sperm morphology. The detection
Preethi Murali +2 more
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E-Staining DermaRepo: H&E whole slide image staining datasetMendeley Data
In the era of artificial intelligence and machine learning, computer-aided diagnostic frameworks are data-hungry and require large amounts of annotated data to automate the disease diagnosis procedure. Moreover, to enhance the performance and accuracy of disease diagnosis, procedures need to be automated to ensure timely and accurate diagnosis.
Muhammad Zeeshan Asaf +5 more
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Biodegradable smart materials with self-healing and shape memory function for wound healing. [PDF]
Sun S, Chen C, Zhang J, Hu J.
europepmc +1 more source
Extracting Time-Frequency Features of Images for Robust LSTM-based Classification of H&E Stained Tissue [PDF]
Tuan D. Pham
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