Quantitative CT texture and shape analysis: can it differentiate benign and malignant mediastinal lymph nodes in patients with primary lung cancer?
about
Ultrasound techniques in the evaluation of the mediastinum, part I: endoscopic ultrasound (EUS), endobronchial ultrasound (EBUS) and transcutaneous mediastinal ultrasound (TMUS), introduction into ultrasound techniquesThe Potential Value of Preoperative MRI Texture and Shape Analysis in Grading Meningiomas: A Preliminary Investigation.Evaluation of Mediastinal Lymph Nodes in Sarcoidosis, Sarcoid Reaction, and Malignant Lymph Nodes Using CT and FDG-PET/CTEffects of contrast-enhancement, reconstruction slice thickness and convolution kernel on the diagnostic performance of radiomics signature in solitary pulmonary nodule.Texture Analysis and Synthesis of Malignant and Benign Mediastinal Lymph Nodes in Patients with Lung Cancer on Computed Tomography.Radiomic-Based Pathological Response Prediction from Primary Tumors and Lymph Nodes in NSCLC.Can radiomics features be reproducibly measured from CBCT images for patients with non-small cell lung cancer?Texture analysis of acute myocardial infarction with CT: First experience study.Clinical applications of textural analysis in non-small cell lung cancer.Three-dimensional texture features from intensity and high-order derivative maps for the discrimination between bladder tumors and wall tissues via MRI.CT texture analysis can help differentiate between malignant and benign lymph nodes in the mediastinum in patients suspected for lung cancer.A new approach to predict lymph node metastasis in solid lung adenocarcinoma: a radiomics nomogram.CT textural analysis of gastric cancer: correlations with immunohistochemical biomarkers
P2860
Q26778702-DC43746F-BCD5-4498-AE41-65F1E117E53FQ33842615-0F90F16A-0C3E-4FC4-A532-B71043C3BC59Q35857826-4706C00F-868F-4482-996D-303D065F1F3DQ37324252-F1EE25D3-8F1D-4426-817B-69239DFC1A3DQ37663127-858335A6-712C-4FFA-ACB1-D66E9478A42CQ39024864-15065EF8-01E3-4786-B234-1FF075DC0944Q41994050-5633B411-376E-4193-B073-F325242F326DQ47120068-5B6CD415-F04F-47E0-8A2E-D5D4BB2757A1Q47966288-C0FF9566-7C32-4A7C-9BAC-BB6CA7D93994Q48003200-3ECEC61E-5A72-4B2D-99BB-170947070385Q52991685-18B1A297-C7E7-46EC-8379-32084382E060Q55260610-51CFCEC5-4F9B-4C69-905F-98649BDEC50FQ58797864-B0D0DFE0-D135-4E6A-9782-E575122D8F48
P2860
Quantitative CT texture and shape analysis: can it differentiate benign and malignant mediastinal lymph nodes in patients with primary lung cancer?
description
2014 nî lūn-bûn
@nan
2014年の論文
@ja
2014年学术文章
@wuu
2014年学术文章
@zh-cn
2014年学术文章
@zh-hans
2014年学术文章
@zh-my
2014年学术文章
@zh-sg
2014年學術文章
@yue
2014年學術文章
@zh
2014年學術文章
@zh-hant
name
Quantitative CT texture and sh ...... ents with primary lung cancer?
@en
Quantitative CT texture and sh ...... ents with primary lung cancer?
@nl
type
label
Quantitative CT texture and sh ...... ents with primary lung cancer?
@en
Quantitative CT texture and sh ...... ents with primary lung cancer?
@nl
prefLabel
Quantitative CT texture and sh ...... ents with primary lung cancer?
@en
Quantitative CT texture and sh ...... ents with primary lung cancer?
@nl
P2093
P2860
P1433
P1476
Quantitative CT texture and sh ...... ents with primary lung cancer?
@en
P2093
Carole Dennie
Carolina A Souza
Donna Maziak
Hamid Bayanati
Kayvan Amjadi
Rebecca E Thornhill
Vineeta Sethi-Virmani
P2860
P2888
P304
P356
10.1007/S00330-014-3420-6
P407
P50
P577
2014-09-13T00:00:00Z