Background Electronic health records (EHRs) are live, digital patient records that provide a
thorough overview of a person's complete health data. Electronic health records (EHRs) …

Background Artificial intelligence approaches can integrate complex features and can be
used to predict a patient's risk of developing lung cancer, thereby decreasing the need for …

Background Lung cancer has the highest mortality rate in the world, twice as high as the
second highest. On the other hand, pathologists are overworked and this is detrimental to …

Deep learning based on lung cancer classification has been used increasingly for the early
diagnosis for several reasons such as lack of robust deep learning-based system …

Lung cancer is the second leading cause of death worldwide after cardiovascular disease.
Due to late diagnosis, lung cancer patients have an extremely low survival rate when …

The World Health organization (WHO) recent statistics show that Cancer is a life-threatening
disease that causes 10 million deaths every year around the globe. Lung Cancer is a …

Lung cancer is a malignant tumor of the lungs that causes uncontrolled cell development in
the tissues, and it is the world's most lethal cancer. The main aim of our study is to predict …

Lung disease is one of the common and severe pathological conditions that affect the
respiratory system, causing respiratory illness and potential mortality. In recent times, deep …

Lung cancer is one of the primary cancer-related causes of death worldwide. Early lung
cancer detection can significantly increase the likelihood of successful treatment. In this …

As a reliable tool for identifying and classifying different illnesses, including lung cancer,
deep learning has grown significantly in popularity. It is crucial to quickly and accurately …