Breast cancer is currently one of the leading malignancies and mortality rates among women globally, creating an urgent need for accurate and efficient automated diagnostic tools. This study proposes and systematically compares convolutional neural network (CNN) architectures, including VG16, ResNet18, ResNet50, DenseNet121, EfficientNet-B0, and Swin-Transformer, applied to whole slide image (WSI) histopathology data for breast cancer prediction and classification. The models were trained and evaluated on the same WSI dataset with consistent image preprocessing techniques, allowing for objective comparison of performance. Experimental results showed that the performance of the models varied depending on the training strategy. In the non-fine-tune setting, ResNet18 achieved the best results with a C-index of 0.6587 and a Mean time-dependent AUC of 0.7317. When performing fine-tuning, ResNet50 outperformed the other architectures with a C-index of 0.6877 and a Mean AUC of 0.7738. Meanwhile, in the non-fine-tuned setup with combined clinical testing, Swin-Transformer achieved the highest performance with a C-index of 0.6793 and a Mean AUC of 0.7619.
Cuu-Duong Dang, T. Le, An-Thai Vo et al.· 2026 International Workshop...· 0 citations
This paper presents a parametric study of concrete beams reinforced with both steel and fiber-reinforced polymer (FRP) bars based on finite element (FE) ABAQUS software. To ensure the reliability of the FE prediction in terms of moment-deflection curves, cracking pattern, and failure mode of the FRP–steel hybrid reinforced concrete (RC) beams, the numerical FE results were compared against the published test data for FRP–steel hybrid RC beams with different types of FRP bars (G/C/A/BFRP) and their arrangements. The numerical results confirmed with reported test results that FRP bars increase the beam's stiffness and its ultimate bending capacity, although they may have an impact on ductility. Based on the validated FE model, the following cases were investigated: (i) altering the position of lower longitudinal FRP bars from outer corners to the mid-span center; (ii) substituting top and bottom longitudinal steel bars with FRP; (iii) replacing all steel reinforcement, including stirrups, with FRP. The findings contribute to the development of optimized hybrid reinforcement layouts, balancing stiffness, strength, and ductility, leading to more efficient hybrid reinforcement strategies in corrosion-resistant structural design.
Thi Thanh Thuy Le, C. Nguyen, T. Nguyen· 2026 11th International Conf...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
