Abstract:
Cancer is a name of fear to people in the world. Ev-
ery year millions of people dead of cancer in the world and lung
cancer is one of them. Lung cancer is classified by our research.
Non-small cell lung cancer (NSCLC) is the most common of the
two main types of lung cancer. Here we have classified our model
NSCLC into 2 subtypes Adenocarcinoma and Squamous Cell
Carcinoma and non-cancerous benign tumors. The CNN model is
utilized here for classification (VGG19, ResNet50, EfficientNetB7
and MobileNetV2). We used 15 thousand image data. The
Augmentor package was utilized to enhance to 15 thousand
from 250 benign lung tissue, 250 lung adenocarcinomas, and 250
lung squamous cell carcinomas. In comparison to other models,
ResNet50 has the best accuracy of 98% among our proposed
models. By putting this model into practice, medical experts will
be able to create an accurate, automatic method for diagnosing
different forms of lung cancer
