[HTML][HTML] The Performance and Clinical Applicability of HER2 Digital Image Analysis in Breast Cancer: A Systematic Review

G Dunenova, Z Kalmataeva, D Kaidarova… - Cancers, 2024 - mdpi.com
Simple Summary HER2-positive breast cancer occurs in 15–30% of cases and has a poor
prognosis. Digital image analysis of HER2 is promising, but its implementation in real …

Deep Neural Networks for HER2 Grading of Whole Slide Images with Subclasses Levels

A Pedraza, L Gonzalez, O Deniz, G Bueno - Algorithms, 2024 - mdpi.com
HER2 overexpression is a prognostic and predictive factor observed in about 15% to 20% of
breast cancer cases. The assessment of its expression directly affects the selection of …

Video deepfake detection using Particle Swarm Optimization improved deep neural networks

L Cunha, L Zhang, B Sowan, CP Lim… - Neural Computing and …, 2024 - Springer
As complexity and capabilities of Artificial Intelligence technologies increase, so does its
potential for misuse. Deepfake videos are an example. They are created with generative …

Joint Stream: Malignant Region Learning for Breast Cancer Diagnosis

A Rehman, S Hussein, W Sultani - Biomedical Signal Processing and …, 2025 - Elsevier
Early diagnosis of breast cancer (BC) significantly contributes to reducing the mortality rate
worldwide. The detection of different factors and biomarkers such as Estrogen receptor (ER) …

A monocular medical endoscopic images depth estimation method based on a confidence-guided dual-branch siamese network

N Chong, F Yang - Biomedical Signal Processing and Control, 2025 - Elsevier
Minimally invasive surgery (MIS) is performed through small incisions or natural orifices
using medical endoscopes for observation and clinical procedures. However, traditional …

Evaluating Uncertainty Quantification in Medical Image Segmentation: A Multi-Dataset, Multi-Algorithm Study.

N Jalal, M Śliwińska, W Wojciechowski… - Applied Sciences …, 2024 - search.ebscohost.com
Deep learning is revolutionizing various scientific fields, with medical applications at the
forefront. One key focus is automating image segmentation, a process crucial in many …

Diagnostic Accuracy of Artificial Intelligence in Classifying HER2 Status in Breast Cancer Immunohistochemistry Slides and Implications for HER2-Low Cases: A …

D Arruda Navarro Albuquerque, M Trotta Vianna… - medRxiv, 2024 - medrxiv.org
Breast cancer with overexpression of the Human Epidermal Growth Factor Receptor 2
(HER2) accounts for 15-20% of cases and is associated with poor outcomes. Although …

Development of Computational Imaging Pipelines to Advance Quantitative Co-Clinical Imaging and Pathology

K Dutta - 2024 - search.proquest.com
Deep learning driven computational methods have profoundly impacted medical imaging by
advancing feature extraction, and by establishing a critical foundation for downstream image …

Research on the application of Bayesian deep learning in medical big data

L Du, Z Zhao, X Wei, L Ding, J Li, B Li - IET
With excellent performance in medical big data processing, deep learning (DL) has been
intensely used in clinical decision support. A major limitation of conventional DL models is …