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Semantic segmentation of medical images aims to associate a pixel with a label in a medical image without human initialization.
The Liver Tumor Segmentation Benchmark (LiTS) 1–43 (2019)
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The three-dimensional organization of the hippocampal formation: a review of anatomical data
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Volumetry of hippocampus and amygdala with high-resolution MRI and three-dimensional analysis software: minimizing the discrepancies between laboratories
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Structured clinical interview for DSM-IV-TR axis I disorders, research version, patient edition (SCID-I/P, 2002)
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OsiriX: An open-source software for navigating in multidimensional DICOM images
Rosset, A., Spadola, L. & Ratib, O · 2004
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Semi-automatic segmentation of the liver and its evaluation on the MICCAI 2007 grand challenge data set
Dawant, B. M., Li, R., Lennon, B. & Li, S · 2007
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Segmentation of the heart and great vessels in CT images using a model-based adaptation framework
Ecabert, O. et al · 2011
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Anatomical and functional correlates of human hippocampal volume asymmetry
Woolard, A. & Heckers, S · 2012
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A pattern recognition approach to zonal segmentation of the prostate on MRI
Litjens, G., Debats, O., van de Ven, W., Karssemeijer, N. & Huisman, H · 2012
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Identifying Prognostic Imaging Biomarkers by Leveraging Public Gene Expression Microarray Data
Gevaert, O. et al · 2012
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The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository
Clark, K. et al · 2013
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The Pascal Visual Object Classes Challenge: A Retrospective
Everingham, M. et al · 2014
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NSCLC Radiogenomics: Initial Stanford Study of 26 Cases (2014)
Napel, S. & Plevritis, S. K · 2014
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The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
Menze, B. H. et al · 2015
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Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets
Tobon-Gomez, C. et al · 2015
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Texture Analysis of Preoperative CT Images for Prediction of Postoperative Hepatic Insufficiency: A Preliminary Study
Simpson, A. L. et al · 2015
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Chemotherapy-Induced Splenic Volume Increase Is Independently Associated with Major Complications after Hepatic Resection for Metastatic Colorectal Cancer
Computed Tomography Image Texture: A Noninvasive Prognostic Marker of Hepatic Recurrence After Hepatectomy for Metastatic Colorectal Cancer
Simpson, A. L. et al · 2017
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Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma Using Quantitative Image Analysis
Zheng, J. et al · 2017
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A review of semantic segmentation using deep neural networks
Guo, Y., Liu, Y., Georgiou, T. & Lew, M. S · 2018
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Deep learning and its application to medical image segmentation 1–6 (2018)
Roth, H. R. et al · 2018
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Why rankings of biomedical image analysis competitions should be interpreted with care
Maier-Hein, L. et al · 2018
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Simpson, A. L. et al · 2015
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Neuroimaging Informatics Technology Initiative
Data Format Working Group · 2016
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Fully Convolutional Networks for Semantic Segmentation
Shelhamer, E., Long, J. & Darrell, T · 2017
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Image Sharing in Radiology—A Primer
Chatterjee, A. R. et al · 2017
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The public cancer radiology imaging collections of The Cancer Imaging Archive
Prior, F. et al · 2017
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Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features
Bakas, S. et al · 2017
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Bakas, S., Reyes, M., Int., E. & Menze, B · 2018
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A radiogenomic dataset of non-small cell lung cancer
Bakr, S. et al · 2018
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Survival Prediction in Pancreatic Ductal Adenocarcinoma by Quantitative Computed Tomography Image Analysis
Attiyeh, M. A. et al · 2018
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Preoperative risk prediction for intraductal papillary mucinous neoplasms by quantitative CT image analysis
Attiyeh, M. A. et al · 2018
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CT radiomics to predict high-risk intraductal papillary mucinous neoplasms of the pancreas
Chakraborty, J. et al · 2018
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Quantitative Imaging Features and Postoperative Hepatic Insufficiency: A Multi-Institutional Expanded Cohort
Pak, L. M. et al · 2018
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