Artificial intelligence has aided in the advancement of healthcare research. The availability
of open-source healthcare statistics has prompted researchers to create applications that aid …

Artificial intelligence (AI) algorithms, particularly deep learning, have demonstrated
remarkable progress in image-recognition tasks. Methods ranging from convolutional neural …

Automatic lung disease detection is a critical challenging task for researchers because of the
noise signals getting included into creative signals amid the image capturing process which …

Lung cancer is the most common cancer that cannot be ignored and cause death with late
health care. Currently, CT can be used to help doctors detect the lung cancer in the early …

Computer-aided detection or diagnosis (CAD) has been a promising area of research over
the last two decades. Medical image analysis aims to provide a more efficient diagnostic and …

Background The National Lung Screening Trial was conducted to determine whether three
annual screenings (rounds T0, T1, and T2) with low-dose helical computed tomography …

The use of computer algorithms has gained momentum in filling/assisting roles of specialists
especially in early diagnosis scenarios. This paper proposes the employment of deep neural …

Lung Cancer is one of the deadliest cancers, responsible for more than 1.80 million deaths
annually worldwide, and it is on the priority list of WHO. In the current scenario, when cancer …

Purpose: Automated detection of solitary pulmonary nodules using positron emission
tomography (PET) and computed tomography (CT) images shows good sensitivity; however …

Abstract Background CADe and CADx systems for the detection and diagnosis of lung
cancer have been important areas of research in recent decades. However, these areas are …