Shahryar Rahnamayan

Improving SHADE with Center-based Mutation for Large-scale Optimization

2019

Differential Evolution is a powerful and efficient approach for numerical optimization. A Success-History Based Parameter Adaptation (SHADE) is the recent variant of the adaptive DE that utilizes a historical performance of the successful control parameter. …

Biased data, biased AI: deep networks predict the acquisition site of TCGA images

2023 · Diagnostic Pathology

BACKGROUND: Deep learning models applied to healthcare applications including digital pathology have been increasing their scope and importance in recent years. Many of these models have been trained on The Cancer Genome Atlas (TCGA) atlas …

Bias in Histopathology Datasets: A Comprehensive Investigation on Possible Factors

2024 · Research Square

<title>Abstract</title> Deep Neural Networks (DNNs) have demonstrated remarkable capabilities in medical applications, including digital pathology, where they excel at analyzing complex patterns in medical images to assist in accurate disease diagnosis and prognosis. However, concerns …