التفاصيل البيبلوغرافية
العنوان: |
Fig 6 - |
المؤلفون: |
Christian Blüthgen (9460956), Miriam Patella (447560), André Euler (8781737), Bettina Baessler (8980760), Katharina Martini (2802418), Jochen von Spiczak (801404), Didier Schneiter (11858721), Isabelle Opitz (802092), Thomas Frauenfelder (82126) |
سنة النشر: |
2021 |
المجموعة: |
Smithsonian Institution: Digital Repository |
مصطلحات موضوعية: |
Medicine, Cell Biology, Molecular Biology, Biotechnology, Developmental Biology, Cancer, Plant Biology, Virology, Biological Sciences not elsewhere classified, thymic epithelial tumor, shapley additive explanation, repeated nested cross, random forest classifiers, intra -/ inter, applying exclusion criteria, 9 8211, 9 %, 8 8211, 8 %, 6 %, 57 177, 22 8211, useful imaging biomarker, fold predictions ), computed tomography radiomics, 1316 radiomic features, histologically confirmed tet, 3 8211, 25 %) features |
Time: |
95 |
الوصف: |
Comparison of a low-risk TET (LRT, left image) and high-risk TET (HRT, right image) with corresponding radiomic fingerprints. Both tumors have been captured in early stages. DV: Dependence variance. LoG n : Laplacian of Gaussian filter with σ = n. RLNUN: Run length non-uniformity. SRLGE: Short run low gray emphasis. SRE: Short run emphasis. wlHHH: Wavelet filter with high-pass filters (H) in every spatial direction. LDE: Large dependence emphasis. |
نوع الوثيقة: |
still image |
اللغة: |
unknown |
Relation: |
https://figshare.com/articles/figure/Fig_6_-/17300649 |
DOI: |
10.1371/journal.pone.0261401.g006 |
الاتاحة: |
https://doi.org/10.1371/journal.pone.0261401.g006 |
Rights: |
CC BY 4.0 |
رقم الانضمام: |
edsbas.F61ECF74 |
قاعدة البيانات: |
BASE |