Lung cancer prediction and Stage classification in CT Scans Using Convolution Neural Networks -A Deep learning Model
Authors:
- 8 December 2022
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 01, 1-5
Abstract
Medical image processing has recently become popular in the last two decades. CT scans provide detailed images of interior organs, bones, soft tissue, and blood arteries. Different segmentation approaches and feature extraction techniques is used for nodule extraction from the ct images. Deep learning techniques is used for lung cancer detection and stage classification to produce better results. This paper discusses different deep learning techniques. Lung cancer dataset was used on the different pre-trained models such as AlexNet, ResNet18, Googlenet, and ResNet50.The performance of the models are calculated using metrics such as confusion matrix, precision, recall, specificity, and f1-score. In this paper the models are modified with different number of layers and optimization techniques to generate a new image classification.Keywords
This publication has 14 references indexed in Scilit:
- Deep reinforcement learning with its application for lung cancer detection in medical Internet of ThingsFuture Generation Computer Systems, 2019
- Deep Learning Predicts Lung Cancer Treatment Response from Serial Medical ImagingClinical Cancer Research, 2019
- Toward an Expert Level of Lung Cancer Detection and Classification Using a Deep Convolutional Neural NetworkThe Oncologist, 2019
- RIC-Unet: An Improved Neural Network Based on Unet for Nuclei Segmentation in Histology ImagesIEEE Access, 2019
- Using Double Convolution Neural Network for Lung Cancer Stage DetectionApplied Sciences, 2019
- Automated pulmonary nodule detection in CT images using deep convolutional neural networksPattern Recognition, 2019
- Lung Cancer Detection and Classification Using Deep Learning2018
- Convolutional neural network-based PSO for lung nodule false positive reduction on CT imagesComputer Methods and Programs in Biomedicine, 2018
- Deep Learning for Categorization of Lung Cancer CT Images2017
- Using Deep Learning for Classification of Lung Nodules on Computed Tomography ImagesJournal of Healthcare Engineering, 2017