Pneumothorax is a life-threatening chest condition that occurs in 30 to 39 percent of individuals with chest problems, making its prompt diagnosis essential. Pneumothorax is caused by the excessive accumulation of air in the pleural space between the lung and the chest wall. Pneumothoraces are classified into two types: spontaneous and traumatic. Traumatic pneumothorax can result from physical injuries such as rib fractures or penetrating trauma (knife wounds, gunshot wounds, accidents, etc.) that damage the lung or chest wall. Spontaneous pneumothorax is further divided into primary (PSP) and secondary (SSP) types. The primary type is not related to any lung disease, while the secondary type occurs due to the exacerbation of an underlying lung condition (such as asthma, COVID-19, etc.). Any type of pneumothorax can develop into a tension pneumothorax. Tension pneumothorax occurs when the pneumothorax enlarges, leading to increased pressure in the pleural space and the collapse of major blood vessels that return blood to the heart, requiring immediate treatment. Medical imaging technologies such as X-ray radiography, computed tomography (CT), magnetic resonance imaging (MRI), and ultrasound are used to diagnose pneumothorax. Due to the availability and cost-effectiveness of X-ray machines, doctors often prefer X-rays over other methods. However, very small pneumothoraces may not be visible on a chest X-ray (CXR) and are diagnosed using CT scans or ultrasound. Chest X-rays have lower resolution compared to CT and MRI scans, which makes diagnosis and pathology assessment time-consuming and challenging. Even experienced radiologists must carefully adjust image display settings, such as window width, window level, etc., for accurate diagnosis. Artificial intelligence (AI) can simplify diagnoses and treatment decisions using deep learning models. One of the significant applications of deep learning in medical diagnostics is its use in classification and segmentation, whi