Lung nodule detection through CT scan images and DNN models
VVK Shukla, M Tanmisha, R Aluru… - 2021 6th …, 2021 - ieeexplore.ieee.org
This paper focuses on detecting the nodules present in the lung CT scan images. The
primary goal is to detect the lung cancer at the early stage. The step for detecting will follow
image pre-processing, segmentation, data preprocessing, data augmentation, model
construction, network layers. For proper image processing results, data pre-processing, data
augmentation will play a major role. Here construct 2D SqueezeNet and 2D MobileNet
Models for detecting the lung cancer in the patients. For classifying the lung nodules, the …
primary goal is to detect the lung cancer at the early stage. The step for detecting will follow
image pre-processing, segmentation, data preprocessing, data augmentation, model
construction, network layers. For proper image processing results, data pre-processing, data
augmentation will play a major role. Here construct 2D SqueezeNet and 2D MobileNet
Models for detecting the lung cancer in the patients. For classifying the lung nodules, the …
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