Designing deep learning based methods with medical images has always been an attractive
area of research to assist clinicians in rapid examination and accurate diagnosis. Those …

X-ray mammography is currently considered the golden standard method for breast cancer
screening, however, it has limitations in terms of sensitivity and specificity. With the rapid …

Simple Summary With the recent advances in the field of artificial intelligence, it has been
possible to develop robust and accurate methodologies that can deliver noticeable results in …

One of the most frequent cancers in women is breast cancer, and in the year 2022,
approximately 287,850 new cases have been diagnosed. From them, 43,250 women died …

Convolutional neural networks (CNNs) have been extensively utilized in medical image
processing to automatically extract meaningful features and classify various medical …

According to the WHO, Cancer is a prominent cause of mortality worldwide, accounting for~
10 million fatalities at the end of 2020. The most common types of cancers include Lung …

Significant advancements in machine learning algorithms have the potential to aid in the
early detection and prevention of cancer, a devastating disease. However, traditional …

Currently, the improvement in AI is mainly related to deep learning techniques that are
employed for the classification, identification, and quantification of patterns in clinical …

With over 2.1 million new cases of breast cancer diagnosed annually, the incidence and
mortality rate of this disease pose severe global health issues for women. Identifying the …

A computer-aided diagnosis (CAD) system requires automated stages of tumor detection,
segmentation, and classification that are integrated sequentially into one framework to assist …