about
Automated image based prominent nucleoli detectionMitosis Counting in Breast Cancer: Object-Level Interobserver Agreement and Comparison to an Automatic Method.Stain Deconvolution Using Statistical Analysis of Multi-Resolution Stain Colour Representation.Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology ImagesAutomatic screening of cervical cells using block image processingTraining Nuclei Detection Algorithms with Simple Annotations.Spatial intratumoral heterogeneity of proliferation in immunohistochemical images of solid tumors.Computer-based image analysis in breast pathology.Localization of Diagnostically Relevant Regions of Interest in Whole Slide Images: a Comparative Study.Automatic cellularity assessment from post-treated breast surgical specimens.Shape and Boundary Similarity Features for Accurate HCC Image Recognition.Segmentation of clustered cells in negative phase contrast images with integrated light intensity and cell shape information.Correlation Filters for Detection of Cellular Nuclei in Histopathology Images.Efficient and robust cell detection: A structured regression approach.Comparative Study on Automated Cell Nuclei Segmentation Methods for Cytology Pleural Effusion ImagesBMCMDA: a novel model for predicting human microbe-disease associations via binary matrix completionImitating Pathologist Based Assessment With Interpretable and Context Based Neural Network Modeling of Histology Images
P2860
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P2860
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
@zh
2012年论文
@zh-cn
name
Efficient nucleus detector in histopathology images.
@en
type
label
Efficient nucleus detector in histopathology images.
@en
prefLabel
Efficient nucleus detector in histopathology images.
@en
P2093
P2860
P356
P1476
Efficient nucleus detector in histopathology images.
@en
P2093
C H M Van Deurzen
M B Van Leeuwen
P2860
P304
P356
10.1111/JMI.12001
P577
2012-12-17T00:00:00Z