New Breast Cancer Study Findings Recently Were Published by Researchers at American International University-Bangladesh (Deep Learning Paradigms for Breast Cancer Diagnosis: A Comparative Study on Wisconsin Diagnostic Dataset).

A recent study conducted by researchers at American International University-Bangladesh examined the use of deep learning models for diagnosing breast cancer. The study compared four different models and evaluated their accuracy, precision, recall, and F1-score. The researchers found that the Convolutional Neural Network (CNN) achieved the highest level of accuracy at 98.25%, making it the most suitable model for diagnosing breast cancer. This research suggests that deep learning models are valuable tools for improving the early and accurate diagnosis of breast cancer. [Extracted from the article]