Review: On Segmentation of Nodules from Posterior and Anterior Chest Radiographs

Area of Science:

• Medical Imaging
• Radiology
• Oncology

Background:

• Lung cancer is a leading cause of cancer mortality worldwide.
• Early detection significantly improves patient survival rates.
• Posterior-anterior (PA) chest radiography is a common, cost-effective imaging technique for lung cancer screening.

Purpose of the Study:

• To present a literature survey on computer-aided diagnosis (CAD) schemes for lung tumor detection.
• To highlight the role of CAD systems in assisting radiologists with interpreting PA chest radiographs.
• To address the challenges in lung tumor detection due to superimposed anatomical structures.

Main Methods:

• Review of existing literature on CAD schemes for lung cancer detection.
• Analysis of techniques used in computerized tools for tumor identification.
• Focus on CAD systems applied to PA chest radiographic images.

Main Results:

• Various CAD schemes have been developed over the past three decades for lung tumor detection.
• These systems serve as a valuable second opinion for radiologists.
• CAD can help overcome limitations of visual interpretation in PA chest radiography.

Conclusions:

• CAD schemes show promise in enhancing the accuracy of lung tumor detection from PA chest X-rays.
• Continued development of CAD is crucial for improving early lung cancer diagnosis.
• These tools support radiologists in identifying abnormalities that might be missed in standard interpretation.