Lung cancer is a leading cause of cancer-related deaths globally. Early detection is crucial
for improving patient survival rates. Deep learning (DL) has shown promise in the medical …

Brain tumor detection in clinical applications is a complex and challenging task due to the
intricate structures of the human brain. Magnetic Resonance (MR) imaging is widely …

Artificial retinas have revolutionized the lives of many blind people by enabling their ability to
perceive vision via an implanted chip. Despite significant advancements, there are some …

ABSTRACT According to the World Health Organization (WHO), Brain Tumors (BrT) have a
high rate of mortality across the world. The mortality rate, however, decreases with early …

Brain tumors form when groups of abnormal cells develop in the brain and have the capacity
to infiltrate nearby tissues. Early detection of brain tumors is essential for treating cancer …

Thyroid-associated orbitopathy is an autoimmune disease that causes changes in various
structures close to the eye. Medical images, such as three-dimensional computed …

Abnormality in brain tissues is a life-threatening illness in humans Un-bias to gender and
age if it is unrecognized and untreated within time, will lead to severe complications and …

Rapid extraction of brain lesions can help doctors speed up clinical diagnosis and provide
help for follow-up treatment. The spatial location, shape, and distribution of Cerebral …

Effective image segmentation is important in various fields, from medical imaging to
autonomous vehicles. This paper presents an integration of Hybrid Flower Pollination …

Brain tumors cause significant distress, affect the brain or surrounding tissues, and cause
severe damage. Timely and accurate brain tumor diagnosis is essential for effective …