Cancer is a dreadful disease in the world and it drains human life and hence, the accurate
identification of the disease is required in the early stages. The early detection causes the …

Image processing plays a vital role in many areas such as healthcare, military, scientific and
business due to its wide variety of advantages and applications. Detection of computed …

In this manuscript, a new approach using deep belief network (DBN) along opposition‐
based hybrid grasshopper and honey bee optimization algorithm for lung cancer …

One of the worst diseases is a brain tumor, which is defined by abnormal development of
synapses in the brain. Early detection of brain tumors is essential for improving prognosis …

Cancer is one of the deadly diseases prevailing worldwide and the patients with cancer are
rescued only when the cancer is detected at the very early stage. Early detection of cancer is …

Detecting the early stage of brain tumors is significant for an effective therapy that can
probably minimize the death rate of patients affected from brain tumors. Magnetic resonance …

Lung cancer is a leading cause of cancer related deaths in all around the world. The
identification of lung nodules is the significant step in the diagnosis of earlier lung cancer …

Gene selection methods are critical in cancer classification, which depends on the
expression of a small number of biomarker genes, which have been a significant issue of …

Breast cancer (BC) is a primary reason for death among the female population around the
world. Early identification can aid in decreasing the mortality rates associated with this …

In this book chapter, the authors aim to deliver in-depth details about the applications of
deep learning and swarm intelligent algorithms for image-based cancer recognition and …