Lung Cancer is the leading cause of cancer-related death worldwide, accounting for approximately 1 in 5 cancer deaths each year. Deep learning and medical image analysis significantly enhance its diagnosis and treatment by analyzing MRI, CT, and ultrasound data to detect abnormalities and assess tumor characteristics. These advanced algorithms improve diagnostic accuracy by identifying patterns that may be missed by human observers. Additionally, they aid in treatment planning by delineating tumor boundaries, predicting treatment response, and monitoring disease progression.
N-Phase Local Expansion Ratio
Novel in-phase/out-of-phase ventilation (IOV) function plot to visualize and measure the amount of high-function IOV That occurs during the breathing cycle.
Geodesic Density Regression for Artifact Correction
The GDR algorithm uses binary artifact masks to exclude artifact regions from the regression and accommodates image intensity change associated with breathing by using a tissue density deformation action.
