A broad range of medical diagnoses is based on analyzing disease images obtained
through high-tech digital devices. The application of artificial intelligence (AI) in the …

Breast cancer is the second leading cause of death for women, so accurate early detection
can help decrease breast cancer mortality rates. Computer-aided detection allows …

A deep learning framework for supporting the classification of breast lesions in ultrasound
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The knowledge discovery in database (KDD) is alarmed with development of methods and
techniques for making use of data. One of the most important step of the KDD is the data …

Breast cancer is one of the primary causes of death among the women worldwide, and the
accurate diagnosis is one of the most significant steps in breast cancer treatment. Data …

Microcalcification is an effective indicator of early breast cancer. To improve the diagnostic
accuracy of microcalcifications, this study evaluates the performance of deep learning-based …

Breast cancer has become a common disease around the world. Expert systems are
valuable tools that have been successful for the disease diagnosis. In this research, we …

Breast cancer affects one out of eight females worldwide. It is diagnosed by detecting the
malignancy of the cells of breast tissue. Modern medical image processing techniques work …

Women who have recovered from breast cancer (BC) always fear its recurrence. The fact
that they have endured the painstaking treatment makes recurrence their greatest fear …

The use of medical datasets has attracted the attention of researchers worldwide. Data
mining techniques have been widely used in developing decision support systems for …