Cargando…
The analysis of image feature robustness using cometcloud
The robustness of image features is a very important consideration in quantitative image analysis. The objective of this paper is to investigate the robustness of a range of image texture features using hematoxylin stained breast tissue microarray slides which are assessed while simulating different...
Autores principales: | Qi, Xin, Kim, Hyunjoo, Xing, Fuyong, Parashar, Manish, Foran, David J., Yang, Lin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3519094/ https://www.ncbi.nlm.nih.gov/pubmed/23248759 http://dx.doi.org/10.4103/2153-3539.101782 |
Ejemplares similares
-
Content-based histopathology image retrieval using CometCloud
por: Qi, Xin, et al.
Publicado: (2014) -
Statistical Analysis of Survival Models Using Feature Quantification on Prostate Cancer Histopathological Images
por: Ren, Jian, et al.
Publicado: (2019) -
Chest X-ray image phase features for improved diagnosis of COVID-19 using convolutional neural network
por: Qi, Xiao, et al.
Publicado: (2021) -
Assessing robustness of radiomic features by image perturbation
por: Zwanenburg, Alex, et al.
Publicado: (2019) -
Decentralized Data Sharing of Tissue Microarrays for Investigative Research in Oncology
por: Chen, Wenjin, et al.
Publicado: (2007)