Results 51 to 60 of about 452,020 (209)
Hematoxylin and eosin (H&E) staining accounts for over 80% of slides stained worldwide. Although routinely used, there are high levels of variation between labs due to different staining methods.
Catriona Dunn +4 more
doaj +1 more source
Background: Mitosis is a process of cell division resulting in two genetically equivalent daughter cells. Excessive proliferation of cells due to mitosis is the hallmark in pre cancer and cancer.
Ankita Tandon +3 more
doaj +1 more source
A Laplacian Pyramid Based Generative H&E Stain Augmentation Network
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, such as the differences in the reagents used, result in high variability in the colors of the stains ...
Fangda Li +3 more
openaire +3 more sources
Background: Oral lichen planus (OLP) is characterized histologically by epithelial basal cell destruction and a dense subepithelial lymphocytic infiltrate. Mast cells (MCs) play a role in the pathogenesis and progression of the disease causing changes in
Treville Pereira +5 more
doaj +1 more source
Context: Micronucleus (MN) has been proved to be an important biomarker of genomic damage. MN scoring in oral exfoliated epithelial cells has been used in the past as a biomarker to identify different preneoplastic conditions much earlier than the ...
Sonal Grover +4 more
doaj +1 more source
BREAST CANCER GRADING OF H&E STAINED HISTOPATHOLOGY IMAGES
Breast cancer is the common existing form of cancers amongst women. The automatic image analysis methods have an enormous potential to decrease the workload in a pathology laboratory. The grading of breast cancer histopathology images is used to find the level of breast cancer.
Vijay M. Mane, Nikhil Tagalpallewar
openaire +2 more sources
Local Histograms for Classifying H&E Stained Tissues [PDF]
We introduce a rigorous mathematical theory for the analysis of local histograms, and consider the appropriateness of their use in the automated classification of textures commonly encountered in images of H&E stained tissues. We first discuss some of the many image features that pathologists indicate they use when classifying tissues, focusing on ...
M L, Massar +3 more
openaire +2 more sources
The present study aimed to evaluate the Fine Needle Aspiration Biopsy in different staining techniques in nodular lesions of the oral cavity and head and neck region, as their sensitivity, specificity and accuracy, staining with Panoptic, Papanicolaou ...
Ana Paula Candido dos SANTOS +3 more
doaj +1 more source
P2.07-01 Deep-Learning Based Prediction of c-MET Status from Digitized H&E-Stained Non-Small Cell Lung Cancer Tissue Samples [PDF]
D. Rajan +9 more
openalex +1 more source
Microvessel prediction in H&E Stained Pathology Images using fully convolutional neural networks [PDF]
Pathological angiogenesis has been identified in many malignancies as a potential prognostic factor and target for therapy. In most cases, angiogenic analysis is based on the measurement of microvessel density (MVD) detected by immunostaining of CD31 or CD34.
Faliu Yi +6 more
openaire +3 more sources

