EfficientNet Based Detection of Lung Cancer Based on Histopathological Image

Abstract

Lung cancer is the most malignant tumor with the highest mortality in the world. Early diagnosis and prognosis are important to improve the patient’s survival rate. With AI, screening which is one of the methods of detection is more sensitive and accurate allowing better analysis. This will in turn assist medical professionals in their line of work and improve the medical field overall. This research will explore a deep learning based on convolutional neural network (CNN), You Only Look Once (Yolo)’s Yolo5, LeNet5, as well as a transfer learning method using four EfficientNet models including EfficientNetB0, EfficientNetB1, EfficientNetB2, and EfficietNetB3.