scholarly article | Q13442814 |
P6179 | Dimensions Publication ID | 1100693156 |
P356 | DOI | 10.1245/S10434-017-6323-3 |
P8608 | Fatcat ID | release_tmhyokgt5jeg3alnhbznonihpq |
P932 | PMC publication ID | 6752719 |
P698 | PubMed publication ID | 29380093 |
P50 | author | Ronald P DeMatteo | Q89998373 |
P2093 | author name string | Vinod P Balachandran | |
Peter J Allen | |||
Mithat Gönen | |||
Amber L Simpson | |||
Michael I D'Angelica | |||
T Peter Kingham | |||
William R Jarnagin | |||
Alexandre Doussot | |||
Richard K Do | |||
Jayasree Chakraborty | |||
Liana Langdon-Embry | |||
Marc A Attiyeh | |||
Shiana Mainarich | |||
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P433 | issue | 4 | |
P921 | main subject | image analysis | Q860755 |
invasive ductal carcinoma | Q1671685 | ||
pancreatic ductal carcinoma | Q8263002 | ||
pancreatic ductal adenocarcinoma | Q18555956 | ||
P304 | page(s) | 1034-1042 | |
P577 | publication date | 2018-01-29 | |
P1433 | published in | Annals of Surgical Oncology | Q2853069 |
P1476 | title | Survival Prediction in Pancreatic Ductal Adenocarcinoma by Quantitative Computed Tomography Image Analysis | |
P478 | volume | 25 |
Q89450405 | Contrast-enhanced CT radiomics for predicting lymph node metastasis in pancreatic ductal adenocarcinoma: a pilot study |
Q104485964 | Convolutional neural network for the detection of pancreatic cancer on CT scans |
Q104485965 | Convolutional neural network for the detection of pancreatic cancer on CT scans - Authors' reply |
Q89625759 | MRI radiomics for early prediction of response to vaccine therapy in a transgenic mouse model of pancreatic ductal adenocarcinoma |
Q89476437 | Pancreatic ductal adenocarcinoma: a radiomics nomogram outperforms clinical model and TNM staging for survival estimation after curative resection |
Q64097540 | Prognostic Value of CT Radiomic Features in Resectable Pancreatic Ductal Adenocarcinoma |
Q97636081 | Radiogenomics for predicting p53 status, PD-L1 expression, and prognosis with machine learning in pancreatic cancer |
Q90706535 | Radiomics Facilitates Candidate Selection for Irradiation Stents Among Patients With Unresectable Pancreatic Cancer |
Q90302948 | Texture Analysis: An Emerging Clinical Tool for Pancreatic Lesions |
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