Medical images are information carriers that visually reflect and record the anatomical
structure of the human body, and play an important role in clinical diagnosis, teaching and …

The world is affected by an existential global health crisis called the COVID-19 pandemic.
Countries like the United States, India and Russia are still having and gaining positive …

In order to detect early lung cancer and improve the detection accuracy of pulmonary
nodules detection in CT images, we propose an improved attention mechanism-based …

Lung cancer being one of the catastrophic diseases is haunting mankind from past seven
decades. Unfortunately, early detection of lung cancer is unlikely, hence leading to highest …

Lung cancer has the greatest fatality rate of all cancers. Due to its efficacy, chest CT has
become standard practice for lung cancer screening and diagnosis. Radiologists have a …

Lung cancer claims a significant amount of lives every year, not only is it tough to treat, the
treatment is extremely ineffective and expensive if given in the latter stages of it. This …

Lung cancer is a disease caused by uncontrollable tissue growth in the lungs. This kind of
malignant tumor has become the cancer with the highest mortality rate worldwide …

Early prediction of lung cancer is very crucial now-a-days. 3D-CNN are widely used to
extract dominant features from the given medical images. So, in this paper we designed a …