Deep learning (DL) is a branch of machine learning and artificial intelligence that has been
applied to many areas in different domains such as health care and drug design. Cancer …

Breast cancer is one of the most common and deadliest cancers among women. Since
histopathological images contain sufficient phenotypic information, they play an …

Officials in the field of public health are concerned about a new monkeypox outbreak, even
though the world is now experiencing an epidemic of COVID-19. Similar to variola, cowpox …

Computer-aided diagnosis (CAD) systems of breast cancer histopathological images
automated classification can help reduce the manual observation workload of pathologists …

Abstract About 30%–40% breast cancer patients suffer from recurrence and metastasis,
even after targeted therapy like trastuzumab. Since breast cancer recurrence and metastasis …

As the cause of the breast cancer disease has not yet clearly identified and a method to
prevent its occurrence has not yet been developed, its early detection has a significant role …

Various imaging techniques combined with machine learning (ML) models have been used
to build computer-aided diagnosis (CAD) systems for breast cancer (BC) detection and …

Colorectal cancer (CRC) is the second leading cause of cancer death in the world, so digital
pathology is essential for assessing prognosis. Due to the increasing resolution and quantity …

Recent improvements in current technology have had a significant impact on a wide range
of image processing applications, including medical imaging. Classification, detection, and …

Deep learning-based approaches have become widespread in medical fields and have
achieved profound success in recent years. Nonetheless, most of these approaches cannot …