Cargando…
Eliminating tissue-fold artifacts in histopathological whole-slide images for improved image-based prediction of cancer grade
BACKGROUND: Analysis of tissue biopsy whole-slide images (WSIs) depends on effective detection and elimination of image artifacts. We present a novel method to detect tissue-fold artifacts in histopathological WSIs. We also study the effect of tissue folds on image features and prediction models. MA...
Autores principales: | Kothari, Sonal, Phan, John H., Wang, May D. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3779385/ https://www.ncbi.nlm.nih.gov/pubmed/24083057 http://dx.doi.org/10.4103/2153-3539.117448 |
Ejemplares similares
-
Optimized JPEG 2000 Compression for Efficient Storage of Histopathological Whole-Slide Images
por: Helin, Henrik, et al.
Publicado: (2018) -
Pathology imaging informatics for quantitative analysis of whole-slide images
por: Kothari, Sonal, et al.
Publicado: (2013) -
Eliminating computed tomography imaging artifacts through 3D printed radiotherapy head supports
por: Bedwani, Stéphane, et al.
Publicado: (2020) -
Artifact-free whole-slide imaging with structured illumination microscopy and Bayesian image reconstruction
por: Johnson, Karl A, et al.
Publicado: (2020) -
A tool for federated training of segmentation models on whole slide images
por: Lutnick, Brendon, et al.
Publicado: (2022)