New Breast Cancer Data Have Been Reported by Investigators at University of Blida 1 (Ultrasound Breast Tumoral Classification By a New Adaptive Pre-trained Convolutive Neural Networks for Computer-aided Diagnosis).

A report from the University of Blida 1 in Algeria discusses the use of transfer learning and convolutional neural networks for the classification of ultrasound breast cancer data. The researchers propose a new adaptive pre-trained convolutional neural network model that analyzes two public datasets to distinguish between malignant and benign breast tumors. The results show that the Inception V3 model is the most efficient, with high accuracy, specificity, sensitivity, and F1-score. This research has been peer-reviewed and provides valuable insights into the use of emerging technologies for computer-aided diagnosis of breast cancer. [Extracted from the article]