Attention-Based Ensemble Network for Effective Breast Cancer Classification over Benchmarks

SM Thwin, SJ Malebary, AW Abulfaraj, HS Park - Technologies, 2024 - mdpi.com
Globally, breast cancer (BC) is considered a major cause of death among women.
Therefore, researchers have used various machine and deep learning-based methods for its …

[HTML][HTML] A generative adversarial network to Reinhard stain normalization for histopathology image analysis

AM Alhassan - Ain Shams Engineering Journal, 2024 - Elsevier
Histopathology image analysis is paramount importance for accurate diagnosing diseases
and gaining insight into tissue properties. The significant challenge of staining variability …

Advanced feature learning and classification of microscopic breast abnormalities using a robust deep transfer learning technique

A Rehman, T Mahmood, FS Alamri… - Microscopy …, 2024 - Wiley Online Library
Breast cancer is a major health threat, with early detection crucial for improving cure and
survival rates. Current systems rely on imaging technology, but digital pathology and …

Adam golden search optimization enabled DCNN for classification of breast cancer using histopathological image

N Suganthi, S Kotagiri, DR Thirupurasundari… - … Signal Processing and …, 2024 - Elsevier
Breast Cancer (BC) is a killing disorder, every year it kills millions of human beings. Early
diagnosis is the only way to mitigate the mortality rate. Among all kinds of screening …

Ensemble Deep Learning-Based Image Classification for Breast Cancer Subtype and Invasiveness Diagnosis from Whole Slide Image Histopathology

AA Balasubramanian, SMA Al-Heejawi, A Singh… - Cancers, 2024 - mdpi.com
Simple Summary Breast cancer is a significant cause of female cancer-related deaths in the
US. Checking how severe the cancer is helps in planning treatment. Modern AI methods are …

Enhanced image segmentation for cancer images using sparse based classification framework

AK Rai, A Singh, SP Yadav - 2024 2nd International …, 2024 - ieeexplore.ieee.org
The correct identification and class of cancerous regions in scientific pictures is vital for
diagnosis and treatment planning. This examination recommends an enhanced image …

[引用][C] Advancements in Histopathologic Cancer Detection: A Deep Learning Odyssey