Enhanced Interpretability in Breast Cancer Detection: Combining Grad‐CAM With Selective Layer Freezing in Deep Learning
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.70151
Abstract: This study aims to develop a novel deep learning‐based approach that integrates selective layer freezing, cyclic learning rate scheduling, and Grad‐CAM visualization to address the challenges of class imbalance, limited interpretability, and adaptability in breast… read more here.
Keywords: breast cancer; grad cam; interpretability; layer freezing ... See more keywords
Simulation-Driven Deep Transfer Learning Framework for Data-Efficient Prediction of Physical Experiments
Sign Up to like & getrecommendations! Published in 2025 at "Mathematics"
DOI: 10.3390/math13233884
Abstract: Transfer learning, which utilizes extensive simulation data to overcome the limitations of scarce and expensive experimental data, has emerged as a powerful approach for predictive modeling in various physical domains. This study presents a comprehensive… read more here.
Keywords: transfer learning; framework; layer freezing; simulation driven ... See more keywords