eosine yellowish-(ys) has been researched along with Thyroid Neoplasms in 8 studies
Timeframe | Studies, this research(%) | All Research% |
---|---|---|
pre-1990 | 0 (0.00) | 18.7374 |
1990's | 2 (25.00) | 18.2507 |
2000's | 1 (12.50) | 29.6817 |
2010's | 3 (37.50) | 24.3611 |
2020's | 2 (25.00) | 2.80 |
Authors | Studies |
---|---|
Craig, S; Eszlinger, M; Itani, D; Khalil, M; Koebel, M; Koro, K; Minoo, P; Ogilvie, T; Pasieka, JL; Stewardson, P; Teman, C; Ziehr, B | 1 |
Hesser, J; Runz, M; Rusche, D; Schmidt, S; Weihrauch, MR; Weis, CA | 1 |
Cunha, LL; da Assumpção, LV; de Matos, PS; Ferreira, Rde C; Ward, LS | 1 |
Bauer, A; Hoperia, V; Jensen, K; Klubo-Gwiezdzinska, J; Larin, A; Patel, A; Vasko, V | 1 |
Barwad, A; Dey, P; Gupta, N; Saikia, UN | 1 |
Cavouras, D; Daskalakis, A; Glotsos, D; Kalatzis, I; Kardari, M; Kostopoulos, S; Nikiforidis, G; Ravazoula, P; Spyridonos, P | 1 |
Ferrara, G; Nappi, O; Wick, MR | 1 |
Fukushima, H; Hidaka, A; Iida, Y; Kasagi, K; Konishi, J; Misaki, T; Watanabe, Y | 1 |
1 review(s) available for eosine yellowish-(ys) and Thyroid Neoplasms
Article | Year |
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Neoplasms composed of eosinophilic polygonal cells: an overview with consideration of different cytomorphologic patterns.
Topics: Adenoma, Oxyphilic; Biomarkers, Tumor; Carcinoma, Neuroendocrine; Cytoplasm; Cytoplasmic Granules; Eosine Yellowish-(YS); Humans; Kidney Neoplasms; Melanoma; Neoplasms; Skin Neoplasms; Staining and Labeling; Thyroid Neoplasms | 1999 |
1 trial(s) available for eosine yellowish-(ys) and Thyroid Neoplasms
Article | Year |
---|---|
Recruitment of T lymphocytes and induction of tumor necrosis factor in thyroid cancer by a local immunotherapy.
Topics: Adult; Aged; Eosine Yellowish-(YS); Female; Hematoxylin; HLA-DR Antigens; Humans; Immunohistochemistry; Immunotherapy; Lymphocyte Subsets; Macrophages; Male; Middle Aged; Picibanil; T-Lymphocytes; Thyroid Neoplasms; Tumor Necrosis Factor-alpha | 1992 |
6 other study(ies) available for eosine yellowish-(ys) and Thyroid Neoplasms
Article | Year |
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Malignancy is in the eye of the beholder: Pathologic diagnosis of challenging follicular neoplasms in the era of noninvasive follicular thyroid neoplasms with papillary-like nuclear features and immunohistochemical and molecular adjuncts.
Topics: Adenocarcinoma, Follicular; Adult; Biomarkers, Tumor; Biopsy, Fine-Needle; Cohort Studies; Coloring Agents; Consensus; Diagnosis, Differential; Eosine Yellowish-(YS); Hematoxylin; Humans; Immunohistochemistry; Molecular Diagnostic Techniques; Observer Variation; Point Mutation; Staining and Labeling; Thyroid Cancer, Papillary; Thyroid Gland; Thyroid Neoplasms | 2021 |
Normalization of HE-stained histological images using cycle consistent generative adversarial networks.
Topics: Adenocarcinoma, Follicular; Breast Neoplasms; Color; Coloring Agents; Eosine Yellowish-(YS); Female; Hematoxylin; Humans; Image Processing, Computer-Assisted; Models, Statistical; Reproducibility of Results; Staining and Labeling; Thyroid Neoplasms | 2021 |
Both gender and concurrent chronic lymphocytic thyroiditis may influence the nuclear texture of papillary thyroid carcinomas cells.
Topics: Adult; Carcinoma; Carcinoma, Papillary; Cell Nucleus; Chromatin; Eosine Yellowish-(YS); Female; Hashimoto Disease; Hematoxylin; Heterochromatin; Humans; Male; Middle Aged; Sex Factors; Staining and Labeling; Thyroid Cancer, Papillary; Thyroid Neoplasms | 2014 |
BRAF(V600E) mutation analysis from May-Grünwald Giemsa-stained cytological samples as an adjunct in identification of high-risk papillary thyroid carcinoma.
Topics: Biopsy, Fine-Needle; Carcinoma, Papillary, Follicular; DNA, Neoplasm; Eosine Yellowish-(YS); Genetic Variation; Humans; Methylene Blue; Polymerase Chain Reaction; Polymorphism, Single Nucleotide; Proto-Oncogene Proteins B-raf; Staining and Labeling; Thyroid Neoplasms | 2011 |
Image cytometry of insular carcinoma.
Topics: Biopsy, Fine-Needle; Carcinoma; Eosine Yellowish-(YS); Hematoxylin; Humans; Image Processing, Computer-Assisted; Thyroid Gland; Thyroid Neoplasms | 2012 |
Design of a multi-classifier system for discriminating benign from malignant thyroid nodules using routinely H&E-stained cytological images.
Topics: Algorithms; Artificial Intelligence; Bayes Theorem; Biopsy, Fine-Needle; Cell Nucleus; Cytodiagnosis; Diagnosis, Differential; Eosine Yellowish-(YS); Hematoxylin; Humans; Image Interpretation, Computer-Assisted; Least-Squares Analysis; Neural Networks, Computer; Sensitivity and Specificity; Staining and Labeling; Statistics, Nonparametric; Thyroid Gland; Thyroid Neoplasms; Thyroid Nodule | 2008 |