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Computer-assisted quantitative analysis on Giga-pixel pathology images has provided a new avenue in histology examination.
Reliability of histologic scoring for lupus nephritis: a community-based evaluation
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Quantification of renal pathology by image analysis (methods in renal research)
Gopala K Rangan and Greg H Tesch · 2007
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Digital pathology evaluation in the multicenter nephrotic syndrome study network (neptune)
Laura Barisoni, Cynthia C Nast, J Charles Jennette, Jeffrey B Hodgin, Andrew M Herzenberg, Kevin V Lemley, Catherine M Conway, Jeffrey B Kopp, Matthias Kretzler, Christa Lienczewski, et al · 2013
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Renal biopsy for medical renal disease: indications and contraindications
Jathin Bandari, Thomas W Fuller, Robert M Turner, and Louis A D’Agostino · 2016
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Digital pathology imaging as a novel platform for standardization and globalization of quantitative nephropathology
Laura Barisoni, Charlotte Gimpel, Renate Kain, Arvydas Laurinavicius, Gloria Bueno, Caihong Zeng, Zhihong Liu, Franz Schaefer, Matthias Kretzler, Lawrence B Holzman, et al · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros · 2017
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Multi-structure segmentation from partially labeled datasets. application to body composition measurements on ct scans
Germán González, George R Washko, and Raúl San José Estépar · 2018
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Group normalization
Yuxin Wu and Kaiming He · 2018
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Computational anatomy for multi-organ analysis in medical imaging: A review
Juan J Cerrolaza, Mirella López Picazo, Ludovic Humbert, Yoshinobu Sato, Daniel Rueckert, Miguel Ángel González Ballester, and Marius George Linguraru · 2019
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Med3d: Transfer learning for 3d medical image analysis
Sihong Chen, Kai Ma, and Yefeng Zheng · 2019
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Computational segmentation and classification of diabetic glomerulosclerosis
Brandon Ginley, Brendon Lutnick, Kuang-Yu Jen, Agnes B Fogo, Sanjay Jain, Avi Rosenberg, Vighnesh Walavalkar, Gregory Wilding, John E Tomaszewski, Rabi Yacoub, et al · 2019
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Crossbar-net: A novel convolutional neural network for kidney tumor segmentation in ct images
Qian Yu, Yinghuan Shi, Jinquan Sun, Yang Gao, Jianbing Zhu, and Yakang Dai · 2019
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Multi-scale coarse-to-fine segmentation for screening pancreatic ductal adenocarcinoma
Zhuotun Zhu, Yingda Xia, Lingxi Xie, Elliot K Fishman, and Alan L Yuille · 2019
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Multi-organ segmentation over partially labeled datasets with multi-scale feature abstraction
Xi Fang and Pingkun Yan · 2020
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Development and evaluation of deep learning–based segmentation of histologic structures in the kidney cortex with multiple histologic stains
Catherine P Jayapandian, Yijiang Chen, Andrew R Janowczyk, Matthew B Palmer, Clarissa A Cassol, Miroslav Sekulic, Jeffrey B Hodgin, Jarcy Zee, Stephen M Hewitt, John O’Toole, et al · 2021
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Evaluating transformer-based semantic segmentation networks for pathological image segmentation
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Automated design of deep learning methods for biomedical image segmentation
Fabian Isensee, Paul F Jäger, Simon AA Kohl, Jens Petersen, and Klaus H Maier-Hein · 2019
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3d kidneys and kidney tumor semantic segmentation using boundary-aware networks
Andriy Myronenko and Ali Hatamizadeh · 2019
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Rethinking atrous convolution for semantic image segmentation
Liang-Chieh Chen, George Papandreou, Florian Schroff, and Hartwig Adam
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Fast image processing with fully-convolutional networks
Qifeng Chen, Jia Xu, and Vladlen Koltun
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Light-weight hybrid convolutional network for liver tumor segmentation
Jianpeng Zhang, Yutong Xie, Pingping Zhang, Hao Chen, Yong Xia, and Chunhua Shen
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Cam Nguyen, Zuhayr Asad, and Yuankai Huo · 2021
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Marginal loss and exclusion loss for partially supervised multi-organ segmentation
Gonglei Shi, Li Xiao, Yang Chen, and S Kevin Zhou · 2021
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Dodnet: Learning to segment multi-organ and tumors from multiple partially labeled datasets
Jianpeng Zhang, Yutong Xie, Yong Xia, and Chunhua Shen · 2021
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