Deep Learning Model for Prediction of Malignant Tumours with Multimodel Imaging Techniques

Cancer is one of the most frightening and deadly diseases on Earth. It is one of

the leading causes of untimely mortality in developed countries. The tale is not

much different in developing countries. As per the Indian Council of Medical

Research (ICMR), More than 1300 people in India die every day because of cancer. As

per World Health Organisation (WHO) [1], deaths from cancer are likely to go beyond

13.1 million in 2030 worldwide. Except for cancers of the blood, most of the other

cancers form solid tumors in the human body irrespective of locations [2]. Tumors are

results of uncontrolled and rapid cell division in living organisms. Tumors are basically

of two types: benign and malignant. Benign tumors are typically non-cancerous and

malignant tumors are prone to grow cancer cells within it. The difference between them

is subtle and a benign tumor may anytime turn into a malignant one. Cancerous tumors

grow at a quick pace and may damage nearby and far-off organs besides affecting the

originating organ [3]. Treatments include surgery, chemotherapy, and radiation. Proper

treatment of such a tumor needs early and correct diagnosis.