Automatic image generation and stage prediction of breast cancer immunobiological through a proposed IHC-GAN model
Abstract Invasive breast cancer diagnosis and treatment planning require an accurate assessment of human epidermal growth factor receptor 2 (HER2) expression levels. While immunohistochemical techniques (IHC) are the gold standard for HER2 evaluation, their implementation can be resource-intensive a...
Saved in:
Main Authors: | Afaf Saad, Noha Ghatwary, Safa M. Gasser, Mohamed S. ElMahallawy |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2025-01-01
|
Series: | BMC Medical Imaging |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12880-024-01522-y |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Non-invasive analysis of faience necklace beads and scarabs from Late Bronze Age and Early Iron Age necropolises in southern Portugal
by: António M. Monge Soares, et al.
Published: (2025-02-01) -
Exploring Multiplex Immunohistochemistry (mIHC) Techniques and Histopathology Image Analysis: Current Practice and Potential for Clinical Incorporation
by: Aria Kaiyuan Sun, et al.
Published: (2025-01-01) -
Multi-institutional evaluation comparing guidance from International Ki67 Working Group vs National Health Commission of China on immunohistochemistry-based Ki67 assessment alongside the Quantitative Dot Blot method
by: Yin Wang, et al.
Published: (2025-01-01) -
LightweightUNet: Multimodal Deep Learning with GAN-Augmented Imaging Data for Efficient Breast Cancer Detection
by: Hari Mohan Rai, et al.
Published: (2025-01-01) -
Synthetic CT generation from CBCT and MRI using StarGAN in the Pelvic Region
by: Paritt Wongtrakool, et al.
Published: (2025-02-01)