相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Evaluation of a Deep Neural Network for Automated Classification of Colorectal Polyps on Histopathologic Slides
Jason W. Wei et al.
JAMA NETWORK OPEN (2020)
Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
Gabriele Campanella et al.
NATURE MEDICINE (2019)
Pan-Renal Cell Carcinoma classification and survival prediction from histopathology images using deep learning
Sairam Tabibu et al.
SCIENTIFIC REPORTS (2019)
Automated clear cell renal carcinoma grade classification with prognostic significance
Katherine Tian et al.
PLOS ONE (2019)
RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification
Shujun Wang et al.
MEDICAL IMAGE ANALYSIS (2019)
Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks
Jason W. Wei et al.
SCIENTIFIC REPORTS (2019)
Attention-Based Deep Neural Networks for Detection of Cancerous and Precancerous Esophagus Tissue on Histopathological Slides
Naofumi Tomita et al.
JAMA NETWORK OPEN (2019)
Deep neural networks for automatic detection of osteoporotic vertebral fractures on CT scans
Naofumi Tomita et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2018)
The Cancer Genome Atlas Comprehensive Molecular Characterization of Renal Cell Carcinoma (vol 23, pg 313, 2018)
Christopher J. Ricketts et al.
CELL REPORTS (2018)
Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning
Nicolas Coudray et al.
NATURE MEDICINE (2018)
WHO/ISUP classification, grading and pathological staging of renal cell carcinoma: standards and controversies
Anne Y. Warren et al.
WORLD JOURNAL OF UROLOGY (2018)
Diagnostic Imaging for Solid Renal Tumors: A Pictorial Review
Tim J. van Oostenbrugge et al.
KIDNEY CANCER (2018)
Renal cell carcinoma
James J. Hsieh et al.
NATURE REVIEWS DISEASE PRIMERS (2017)
Classification of breast cancer histology images using Convolutional Neural Networks
Teresa Araujo et al.
PLOS ONE (2017)
Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent
Angel Cruz-Roa et al.
SCIENTIFIC REPORTS (2017)
The Native Kidney Biopsy: Update and Evidence for Best Practice
Jonathan J. Hogan et al.
CLINICAL JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY (2016)
Morphologic, Molecular, and Taxonomic Evolution of Renal Cell Carcinoma A Conceptual Perspective With Emphasis on Updates to the 2016 World Health Organization Classification
Aaron M. Udager et al.
ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE (2016)
Computer-aided classification of lung nodules on computed tomography images via deep learning technique
Kai-Lung Hua et al.
ONCOTARGETS AND THERAPY (2015)
Clinical behavior of chromophobe renal cell carcinoma is less aggressive than that of clear cell renal cell carcinoma, independent of Fuhrman grade or tumor size
Sandra Steffens et al.
VIRCHOWS ARCHIV (2014)
被撤回的出版物: World Medical Association Declaration of Helsinki Ethical Principles for Medical Research Involving Human Subjects (Retracted article. See vol. 135, pg. 2149, 2021)
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2013)
Epidemiology, Clinical Staging, and Presentation of Renal Cell Carcinoma
G. Joel DeCastro et al.
UROLOGIC CLINICS OF NORTH AMERICA (2008)
2004 WHO classification of the renal tumors of the adults
A Lopez-Beltran et al.
EUROPEAN UROLOGY (2006)
Bootstrapped confidence intervals as an approach to statistical inference
M Wood
ORGANIZATIONAL RESEARCH METHODS (2005)
Comparisons of outcome and prognostic features among histologic subtypes of renal cell carcinoma
JC Cheville et al.
AMERICAN JOURNAL OF SURGICAL PATHOLOGY (2003)
Prognostic impact of histologic Subtyping of adult renal epithelial neoplasms - An experience of 405 cases
MB Amin et al.
AMERICAN JOURNAL OF SURGICAL PATHOLOGY (2002)
分享论文
