A computer‐aided diagnosis system for differentiation and delineation of malignant regions on whole‐slide prostate histopathology image using spatial statistics and multidimensional DenseNet-Reference-Cited by-同舟云学术

A computer‐aided diagnosis system for differentiation and delineation of malignant regions on whole‐slide prostate histopathology image using spatial statistics and multidimensional DenseNet

Published:2020-01-06 Issue:3 Volume:47 Page:1021-1033
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Chen Chiao‐Min¹,Huang Yao‐Sian¹,Fang Pei‐Wei²,Liang Cher‐Wei²³⁴^ORCID,Chang Ruey‐Feng¹⁵⁶

Affiliation:

1. Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan

2. Department of Pathology Fu Jen Catholic University Hospital Fu Jen Catholic University New Taipei City Taiwan

3. School of Medicine College of Medicine Fu Jen Catholic University New Taipei City Taiwan

4. Graduate Institute of Pathology College of Medicine National Taiwan University Taipei Taipei Taiwan

5. Graduate Institute of Biomedical Electronics and Bioinformatics National Taiwan University Taipei Taiwan

6. MOST Joint Research Center for AI Technology and All Vista Healthcare Taipei Taipei Taiwan

Funder

Ministry of Science and Technology

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.13964

Reference39 articles.

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4. Prostate Cancer Grading: Use of Graph Cut and Spatial Arrangement of Nuclei

5. Computer-aided diagnosis for distinguishing between triple-negative breast cancer and fibroadenomas based on ultrasound texture features

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