Medical diagnosis using images is critical for defining the patient's condition and assisting
the decision process for treatment by the physician. Certain infections and conditions like
Colorectal Cancer, lung lesion, brain tumor, Metastasis can be ambiguous and the
diagnosis cannot be accurately determined using single image. Image fusion is phenomena
that helps to alleviate this underlying problem. Image fusion is the process of integrating
complementary information from two or more distinct images into a single image without loss …

The method by which data from multiple images is incorporated into a single image in order
to enhance the quality of the image and reduce the artifacts, randomness and redundancy is
known as image fusion. Image fusion plays a vital role in medical diagnosis and treatment.
In this paper, a new image fusion algorithm using pulse-coupled neural network (PCNN)
with genetic algorithm (GA) optimization has been proposed. Sixteen different sets of CT and
PET images have been utilized to validate the performance of the proposed technique …