[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 …
prognosis. Digital image analysis of HER2 is promising, but its implementation in real …
NSGA-II-DL: Metaheuristic optimal feature selection with Deep Learning Framework for HER2 classification in Breast Cancer
Immunohistochemistry (IHC) slides are graded for breast cancer based on visual markers
and morphological characteristics of stained membrane regions. The usage of whole slide …
and morphological characteristics of stained membrane regions. The usage of whole slide …
Hybrid transfer learning and GAN-driven approach for online detection of welding defects
J Wang, Z Zhang, S Zhang, Z Bai, R Qin… - Journal of Manufacturing …, 2025 - Elsevier
The use of visual, data-driven methods based on deep learning for online monitoring of
welding defects has become a popular research topic. However, the limited availability of …
welding defects has become a popular research topic. However, the limited availability of …
[PDF][PDF] Efficient Machine Learning and Deep Learning Techniques for Detection of Breast Cancer Tumor
DA Mahmood, SA Aminfar - BioMed Target Journal, 2024 - pdfs.semanticscholar.org
The detection of cancer tumors is an essential component that has important consequences
for the speedy involvement of medical professionals and the enhancement of patient …
for the speedy involvement of medical professionals and the enhancement of patient …
Advancing Image Generation with Denoising Diffusion Probabilistic Model and ConvNeXt-V2: A novel approach for enhanced diversity and quality
In the rapidly evolving domain of image generation, the availability of sufficient data is
crucial for effective model training. However, obtaining a large dataset is often challenging …
crucial for effective model training. However, obtaining a large dataset is often challenging …
GAN-Augmented Breast Cancer Classification with Histogram-Based Gradient Boosting
S Kayikci, T Khoshgoftaar - 2024 International Congress on …, 2024 - ieeexplore.ieee.org
The main method for screening for breast cancer is mammography, which aims to lower the
risk of breast cancer death by early detection. Deep learning techniques have been found to …
risk of breast cancer death by early detection. Deep learning techniques have been found to …
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 …
(HER2) accounts for 15-20% of cases and is associated with poor outcomes. Although …
UNLEASH THE POTENTIAL OF GAN MODEL TO GENERATE SYNTHETIC PROTEIN SEQUENCES
M Sharma, A Singh - 2025 - authorea.com
Motivation: Developing a de facto method to generate synthetic protein sequences is a
challenging task that ensures confidence in protein engineering, provides functional …
challenging task that ensures confidence in protein engineering, provides functional …