Research graph
References from Automatic quantification of tumor-stroma ratio as a prognostic marker for pancreatic cancer. Local targets link to admitted publications; unresolved targets remain external evidence.
Epidemiology of pancreatic cancer: global trends, etiology and risk factors
10.14740/wjon1166 · 2019 · External reference
Pancreatic cancer: A review of clinical diagnosis, epidemiology, treatment and outcomes
10.3748/wjg.v24.i43.4846 · 2018 · External reference
Setting the research agenda for clinical artificial intelligence in pancreatic adenocarcinoma imaging
10.3390/cancers14143498 · 2022 · External reference
The american joint committee on cancer: the 7th edition of the ajcc cancer staging manual and the future of tnm
10.1245/s10434-010-0985-4 · 2010 · External reference
Nomogram for predicting survival in patients with pancreatic cancer
10.2147/ott.s154599 · 2018 · External reference
Development of an artificial intelligence-derived histologic signature associated with adjuvant gemcitabine treatment outcomes in pancreatic cancer
2023 · External reference
Morphological heterogeneity in ductal adenocarcinoma of the pancreas–does it matter?
10.1016/j.pan.2016.02.004 · 2016 · External reference
The prognostic value of the tumour-stroma ratio in primary operable invasive cancer of the breast: a validation study
10.1007/s10549-017-4445-8 · 2017 · External reference
Tumor-stroma ratio is an independent predictor for survival in nsclc
2015 · External reference
Computer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer
10.1007/s13402-019-00429-z · 2019 · External reference
Tumor-stroma ratio as prognostic factor for survival in rectal adenocarcinoma: A retrospective cohort study
10.4251/wjgo.v9.i12.466 · 2017 · External reference
Tenascin c, fibronectin, and tumor-stroma ratio in pancreatic ductal adenocarcinoma
10.1097/mpa.0000000000001195 · 2019 · External reference
Pros and cons: high proportion of stromal component indicates better prognosis in patients with pancreatic ductal adenocarcinoma—a research based on the evaluation of whole-mount histological slides
10.3389/fonc.2020.01472 · 2020 · External reference
Sequential immunohistochemistry: a promising new tool for the pathology laboratory
10.1111/his.12446 · 2014 · External reference
Patch-based nonlinear image registration for gigapixel whole slide images
10.1109/tbme.2015.2503122 · 2015 · External reference
Optimal respiratory-gated [18f] fdg pet/ct significantly impacts the quantification of metabolic parameters and their correlation with overall survival in patients with pancreatic ductal adenocarcinoma
2019 · External reference
Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks
10.7717/peerj.8242 · 2019 · External reference
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10.1007/978-3-319-24574-4_28
10.1007/978-3-319-24574-4_28 · External reference
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Scoring the tumor-stroma ratio in colon cancer: procedure and recommendations
10.1007/s00428-018-2408-z · 2018 · External reference
Automatic multi-tissue segmentation in pancreatic pathological images with selected multi-scale attention network
10.1016/j.compbiomed.2022.106228 · 2022 · External reference
Automatic pancreatic ductal adenocarcinoma detection in whole slide images using deep convolutional neural networks
2021 · External reference
Pan-cancer integrative histology-genomic analysis via multimodal deep learning
10.1016/j.ccell.2022.07.004 · 2022 · External reference
