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。Gastric histopathology image segmentation using a hierarchical conditional random field
Changhao Sun et al.
BIOCYBERNETICS AND BIOMEDICAL ENGINEERING (2020)
Fast ScanNet: Fast and Dense Analysis of Multi-Gigapixel Whole-Slide Images for Cancer Metastasis Detection
Huangjing Lin et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2019)
BACH: Grand challenge on breast cancer histology images
Guilherme Aresta et al.
MEDICAL IMAGE ANALYSIS (2019)
RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification
Shujun Wang et al.
MEDICAL IMAGE ANALYSIS (2019)
Adaptive Weighting Multi-Field-of-View CNN for Semantic Segmentation in Pathology
Hiroki Tokunaga et al.
2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019) (2019)
Lagrangean-Based Combinatorial Optimization for Large-Scale S3VMs
Francesco Bagattini et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2018)
High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection
Angel Cruz-Roa et al.
PLOS ONE (2018)
Graph CNN for Survival Analysis on Whole Slide Pathological Images
Ruoyu Li et al.
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2018, PT II (2018)
Rethinking Feature Distribution for Loss Functions in Image Classification
Weitao Wan et al.
2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2018)
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
Babak Ehteshami Bejnordi et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2017)
Automated grading of breast cancer histopathology using cascaded ensemble with combination of multi-level image features
Tao Wan et al.
NEUROCOMPUTING (2017)
Breast Cancer Multi-classification from Histopathological Images with Structured Deep Learning Model
Zhongyi Han et al.
SCIENTIFIC REPORTS (2017)
Metastasis detection from whole slide images using local features and random forests
Mira Valkonen et al.
CYTOMETRY PART A (2017)
Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features
Yan Xu et al.
BMC BIOINFORMATICS (2017)
Densely Connected Convolutional Networks
Gao Huang et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Computational Pathology A Path Ahead
David N. Louis et al.
ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE (2016)
Automated Histology Analysis [Opportunities for signal processing]
Michael T. McCann et al.
IEEE SIGNAL PROCESSING MAGAZINE (2015)
Breast Cancer Histopathology Image Analysis: A Review
Mitko Veta et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2014)
Evolutionary Optimization of Low-Discrepancy Sequences
Francois-Michel De Rainville et al.
ACM TRANSACTIONS ON MODELING AND COMPUTER SIMULATION (2012)
SLIC Superpixels Compared to State-of-the-Art Superpixel Methods
Radhakrishna Achanta et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2012)
Computational pathology: Challenges and promises for tissue analysis
Thomas J. Fuchs et al.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2011)
Generalized Halton Sequences in 2008: A Comparative Study
Henri Faure et al.
ACM TRANSACTIONS ON MODELING AND COMPUTER SIMULATION (2009)