Compounds > eosine yellowish-(ys)
Page last updated: 2024-08-21

eosine yellowish-(ys) and Adenocarcinoma of Lung

eosine yellowish-(ys) has been researched along with Adenocarcinoma of Lung in 8 studies

Research

Studies (8)

TimeframeStudies, this research(%)All Research%
pre-19900 (0.00)18.7374
1990's0 (0.00)18.2507
2000's0 (0.00)29.6817
2010's3 (37.50)24.3611
2020's5 (62.50)2.80

Authors

AuthorsStudies
Badovinac, S; Begić, V; Branica, BV; Gršković, P; Harabajsa, S; Korać, P; Šimić, V; Smojver-Ježek, S1
An, HJ; Seo, SB; Song, DH; Yang, JW1
Budzinska, MA; Crosetto, N; Krawczyk, P; Kucharczyk, T; Kukiełka, M; Nicoś, M; Paśnik, I; Rączkowska, A; Szczurek, E; Szumiło, J1
Ding, Y; Jia, X; Li, J; Li, X; Liu, X; Ren, J; Song, Z; Sun, D; Wang, Y; Xu, M; Zhang, H1
Ahn, HY; Ahn, J; Cho, JS; I, H; Jeong, YJ; Kim, A; Kim, YD; Kwon, H; Lee, CH; Lee, SJ; Park, WY; Shin, DH1
Auvigne-Flament, I; Batenchuk, C; Behrooz, A; Brown, T; Chang, HW; Chen, PC; Cimermancic, P; Findlater, R; Hanks, D; Kulig, K; Mermel, CH; Patel, H; Sadhwani, A; Steiner, DF; Tan, F; Tekiela, K; Velez, V; Wulczyn, E; Yi, ES1
Al-Saad, S; Andersen, S; Bremnes, RM; Busund, LT; Dalen, SM; Donnem, T; Hald, SM; Kilvaer, TK; Paulsen, EE; Rakaee, M; Richardsen, E1
Ji, XL; Xu, MZ; Xu, X1

Other Studies

8 other study(ies) available for eosine yellowish-(ys) and Adenocarcinoma of Lung

ArticleYear
Influence of deep-freezing and MGG staining on DNA and RNA quality in different types of lung adenocarcinoma cytological smears.
    Diagnostic cytopathology, 2021, Volume: 49, Issue:12

    Topics: Adenocarcinoma of Lung; Cytological Techniques; DNA Fragmentation; DNA, Neoplasm; Eosine Yellowish-(YS); Erythrocytes; Freezing; Humans; Lung Neoplasms; Methylene Blue; RNA, Neoplasm; Staining and Labeling

2021
Classification of subtypes including LCNEC in lung cancer biopsy slides using convolutional neural network from scratch.
    Scientific reports, 2022, 02-03, Volume: 12, Issue:1

    Topics: Adenocarcinoma of Lung; Area Under Curve; Biopsy; Carcinoma, Non-Small-Cell Lung; Carcinoma, Squamous Cell; Datasets as Topic; Eosine Yellowish-(YS); Hematoxylin; Histocytochemistry; Humans; Image Interpretation, Computer-Assisted; Lung; Lung Neoplasms; Neural Networks, Computer; Small Cell Lung Carcinoma

2022
Deep learning-based tumor microenvironment segmentation is predictive of tumor mutations and patient survival in non-small-cell lung cancer.
    BMC cancer, 2022, Sep-21, Volume: 22, Issue:1

    Topics: Adenocarcinoma of Lung; Carcinoma, Non-Small-Cell Lung; Deep Learning; Eosine Yellowish-(YS); Hematoxylin; Humans; Lung Neoplasms; Mutation; Receptor, Platelet-Derived Growth Factor beta; Tumor Microenvironment

2022
Preoperative CT-based radiomics combined with tumour spread through air spaces can accurately predict early recurrence of stage I lung adenocarcinoma: a multicentre retrospective cohort study.
    Cancer imaging : the official publication of the International Cancer Imaging Society, 2023, Sep-07, Volume: 23, Issue:1

    Topics: Adenocarcinoma of Lung; Eosine Yellowish-(YS); Humans; Lung Neoplasms; Retrospective Studies; Tomography, X-Ray Computed

2023
The prognostic significance of tumor-infiltrating lymphocytes assessment with hematoxylin and eosin sections in resected primary lung adenocarcinoma.
    PloS one, 2019, Volume: 14, Issue:11

    Topics: Adenocarcinoma of Lung; Adult; Aged; Aged, 80 and over; Coloring Agents; Eosine Yellowish-(YS); Female; Hematoxylin; Humans; Lung; Lung Neoplasms; Lymphocytes, Tumor-Infiltrating; Male; Middle Aged; Neoplasm Staging; Pneumonectomy; Prognosis; Progression-Free Survival; Retrospective Studies; Staining and Labeling

2019
Comparative analysis of machine learning approaches to classify tumor mutation burden in lung adenocarcinoma using histopathology images.
    Scientific reports, 2021, 08-16, Volume: 11, Issue:1

    Topics: Adenocarcinoma of Lung; Adult; Age Factors; Aged; Aged, 80 and over; Area Under Curve; Carcinoma, Non-Small-Cell Lung; Coloring Agents; Datasets as Topic; Deep Learning; Eosine Yellowish-(YS); Female; Hematoxylin; Humans; Lung Neoplasms; Male; Middle Aged; Mutation; ROC Curve; Sex Factors; Smoking; Staining and Labeling

2021
Evaluation of tumor-infiltrating lymphocytes using routine H&E slides predicts patient survival in resected non-small cell lung cancer.
    Human pathology, 2018, Volume: 79

    Topics: Adenocarcinoma of Lung; Aged; Carcinoma, Non-Small-Cell Lung; Carcinoma, Squamous Cell; Coloring Agents; Disease-Free Survival; Eosine Yellowish-(YS); Female; Hematoxylin; Humans; Lung Neoplasms; Lymphocytes, Tumor-Infiltrating; Male; Middle Aged; Neoplasm Staging; Observer Variation; Pneumonectomy; Predictive Value of Tests; Reproducibility of Results; Retrospective Studies; Risk Factors; Staining and Labeling; Stromal Cells; Time Factors

2018
Significance of the histological and ultrastructural features of elastic fibers in diagnosis of bronchioloalveolar carcinoma.
    European review for medical and pharmacological sciences, 2014, Volume: 18, Issue:9

    Topics: Adenocarcinoma; Adenocarcinoma of Lung; Adenocarcinoma, Bronchiolo-Alveolar; Coloring Agents; Diagnosis, Differential; Elastic Tissue; Eosine Yellowish-(YS); Hematoxylin; Humans; Lung Neoplasms; Microscopy, Electron, Transmission; Predictive Value of Tests; Staining and Labeling

2014