Detection and Robust Classification of Lung Cancer Disease Using Hybrid Deep Learning Approach
- Title
- Detection and Robust Classification of Lung Cancer Disease Using Hybrid Deep Learning Approach
- Creator
- Prasanna K.R.; Kumar R.V.; Mohanbabu G.; Selvam J.J.D.; Kumarnath J.; Sellapandi S.P.
- Description
- Effective lung cancer diagnosis and treatment hinge on the early detection of lung nodules. Various techniques, such as thresholding, pattern recognition, computer-aided diagnostics, and backpropagation calculations, have been explored by scientists. Convolutional neural networks (CNNs) have emerged as powerful tools in recent times, revolutionizing many aspects of this field. However, traditional computer-aided detection systems face challenges when categorizing lung nodule detection. Excessive reliance on classifiers at every stage of the process results in diminished recognition rates and an increased occurrence of false positives. To address these issues, we present a novel approach based on deep hybrid learning for classifying lung lesions. In this study, we explore multiple memory-efficient and hybrid deep neural network (DNN) architectures for image processing. Our proposed hybrid DNN significantly outperforms the current state-of-the-art, achieving an impressive accuracy of 95.21%, all while maintaining a balanced trade-off between specificity and sensitivity. The primary focus of this research is to differentiate between CT scans of patients who have early-stage lung cancer and those who do not. This is achieved by utilizing binary classification networks, including standard CNN, SqueezeNet, and MobileNet. 2023 IEEE.
- Source
- 2023 International Conference on Data Science, Agents and Artificial Intelligence, ICDSAAI 2023
- Date
- 2023-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- computer-aided detection; hybrid deep learning; Lung cancer; memory efficient
- Coverage
- Prasanna K.R., Bharath Institute of Higher Education and Research, Chennai, India; Kumar R.V., Sri Lakshmi Narayana Institute of Medical Science, Department of Physiology, Biher, India; Mohanbabu G., Chennai Institute of Technology, Department of Ece, Chennai, India; Selvam J.J.D., Christ(Deemed to Be University), School of Business and Management, Banglore, India; Kumarnath J., Psna College of Engineering and Technology, Dindigul, India; Sellapandi S.P., Psna College of Engineering and Technology, Dindigul, India
- Rights
- Restricted Access
- Relation
- ISBN: 979-835034891-0
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Prasanna K.R.; Kumar R.V.; Mohanbabu G.; Selvam J.J.D.; Kumarnath J.; Sellapandi S.P., “Detection and Robust Classification of Lung Cancer Disease Using Hybrid Deep Learning Approach,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/19657.