Glomerulus Detection on Light Microscopic Images of Renal Pathology with the Faster R-CNN-Reference-Cited by-同舟云学术

Glomerulus Detection on Light Microscopic Images of Renal Pathology with the Faster R-CNN

Published:2018 Issue: Volume: Page:369-377
ISSN:0302-9743
Container-title:Neural Information Processing
language:
Short-container-title:

Author:

Lo Ying-Chih,Juang Chia-Feng,Chung I-Fang,Guo Shin-Ning,Huang Man-Ling,Wen Mei-Chin,Lin Cheng-Jian,Lin Hsueh-Yi

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-04239-4_33

Reference11 articles.

1. Wen, C.P., et al.: All-cause mortality attributable to chronic kidney disease: a prospective cohort study based on 462293 adults in Taiwan. Lancet 371(9631), 2173–2182 (2018)

2. Hirohashi, Y., et al.: Automated quantitative image analysis of glomerular desmin immunostaining as a sensitive injury marker in Spontaneously Diabetic Torii rats. J. Biomed. Image Process. 1(1), 20–28 (2014)

3. Kato, T., et al.: Segmental HOG: new descriptor for glomerulus detection in kidney microscopy image. BMC Bioinform. 16(316), 1–16 (2015)

4. Kotyk, T., et al.: Measurement of glomerulus diameter and Bowman’s space width of renal albino rats. Comput. Methods Programs Biomed. 126, 143–153 (2016)

5. Communications in Computer and Information Science;A Pedraza,2017

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep learning-based glomerulus detection and classification with generative morphology augmentation in renal pathology images;Computerized Medical Imaging and Graphics;2024-07

2. Development of an automaton recognizer of tissue pathologies caused by Chlamydia infection;BIO Web of Conferences;2024

3. Automatic Identification of Glomerular in Whole-Slide Images Using a Modified UNet Model;Diagnostics;2023-10-09

4. A combination of optimized threshold and deep learning-based approach to improve malaria detection and segmentation on PlasmoID dataset;FACETS;2023-01-01

5. Privacy-Preserving Object Detection for Medical Images With Faster R-CNN;IEEE Transactions on Information Forensics and Security;2022