Simple Summary Colorectal cancer remains a major health challenge with high mortality
rates and increasing diagnoses among younger adults. This study introduces a new method …

Medical image registration is vital for precise healthcare diagnosis, treatment planning, and
disease progression tracking, but traditional methods fail to capture complex spatial …

In the last ten years, lung cancer and chronic pulmonary diseases have become prominent
respiratory diseases that require significant attention. This increase in prominence …

Deformable image registration is a fundamental technique in medical image analysis and
provide physicians with a more complete understanding of patient anatomy and function …

This study aims to develop, an effective customized Convolutional Neural Network model
that can accurately identify areas on CT scans that have lung nodules and those that do not …

Deep learning has become one of the hottest topics in medical image processing due to the
development of deep learning technology. Currently, medical image research and …

In recent years, information technology has vastly improved. The quality of the image has
been degraded by noise, which defeats the purpose of the noisy images. The major purpose …

Lung cancer is one of the most frequent types of cancer worldwide, and it has a high fatality
rate. To improve survival chances and ensure a successful treatment, early identification of …

Medical imaging is a critical tool for diagnosing and treating various diseases such as
Chronic Obstructive Pulmonary Disease (COPD), tuberculosis, lung cancer, and …

This study aims to improve early lung cancer detection by creating a sophisticated Computer-
Aided Diagnosis (CAD) system. This system employs advanced image processing …