Computer-aided prognosis on breast cancer with hematoxylin and eosin histopathology images: A review
With the advance of digital pathology, image analysis has begun to show its advantages in information analysis of hematoxylin and eosin histopathology images. Generally, histological features in hematoxylin and eosin images are measured to evaluate tumor grade and prognosis for breast cancer. This r...
Saved in:
| Main Authors: | Jia-Mei Chen, Yan Li, Jun Xu, Lei Gong, Lin-Wei Wang, Wen-Lou Liu, Juan Liu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2017-03-01
|
| Series: | Tumor Biology |
| Online Access: | https://doi.org/10.1177/1010428317694550 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Machine learning prediction of HER2-low expression in breast cancers based on hematoxylin–eosin-stained slides
by: Jun Du, et al.
Published: (2025-04-01) -
Optimization of hematoxylin and eosin staining of heart, blood vessels, liver, and spleen
by: L. A. Bogdanov, et al.
Published: (2019-12-01) -
Hematoxylin and Eosin-stained whole slide image dataset annotated for skin tissue segmentationMendeley Data
by: Anum Abdul Salam, et al.
Published: (2025-04-01) -
Multiple instance learning-based prediction of programmed death-ligand 1 (PD-L1) expression from hematoxylin and eosin (H&E)-stained histopathological images in breast cancer
by: Zhen Da, et al.
Published: (2025-04-01) -
Reetha (Sapindus mukorossi) extract as a biosafe surrogate for xylene in hematoxylin and eosin staining procedure
by: Suhasini P. Gotur, et al.
Published: (2025-04-01)