ARCHIVES
Research Article
Design and Analysis of Deep Learning Framework for Early Detection of Cancer Disease
Ravina Dable1
Rahul Dhuture2
Sandeep Thakre3
1Electronics and communication Engineering Tulsiramji Gaikwad-Patil College of Engineering & Technology Nagpur, Maharashtra, India. 23Professor, Electronics and communication Engineering, Tulsiramji Gaikwad-Patil College of Engineering & Technology, Nagpur, Maharashtra, India.
Published Online: March-April 2024
Pages: 273-278
Cite this article
↗ https://www.doi.org/10.59256/ijire.20240502036
References
1. H. Alqahtani, E. Alabdulkreem, F. A. Alotaibi, M. M. Alnfiai, C. Singla and A. S. Salama, "Improved Water Strider Algorithm with
Convolutional Autoencoder for Lung and Colon Cancer Detection on Histopathological Images," in IEEE Access, vol. 12, pp. 949-
956, 2024, doi: 10.1109/ACCESS.2023.3346894.
2. O. H. Kesav and R. G. K, "A Systematic Study on Enhanced Deep Learning Based Methodologies for Detection and Classification of
Early Stage Cancers," 2023 IEEE 5th International Conference on Cybernetics, Cognition and Machine Learning Applications
(ICCCMLA), Hamburg, Germany, 2023, pp. 328-333, doi: 10.1109/ICCCMLA58983.2023.10346973.
3. Mahdi Gilany1, Paul Wilson1, Andrea Perera-Ortega “TRUSformer: Improving Prostate Cancer Detection from Micro-Ultrasound Using Attention and Self-Supervision” arXiv:2303.02128v1 [eess.IV] 3 Mar 2023
4. A. İ. Sarı, B. Dervişoğlu and A. Rovshenov, "Early Detection of Skin Cancer with Mobile Application Using Artificial Intelligence
Techniques," 2022 Innovations in Intelligent Systems and Applications Conference (ASYU), Antalya, Turkey, 2022, pp. 1-6, doi:
10.1109/ASYU56188.2022.9925565
5. X. Li, Y. Chai, K. Zhang, W. Chen and P. Huang, "Early gastric cancer detection based on the combination of convolutional neural
network and attention mechanism," 2021 China Automation Congress (CAC), Beijing, China, 2021, pp. 5731-5735, doi:
10.1109/CAC53003.2021.9728413.
6. Woo S, et al. CBAM: Convolutional Block Attention Module[J]. Springer, Cham, 2018.
Convolutional Autoencoder for Lung and Colon Cancer Detection on Histopathological Images," in IEEE Access, vol. 12, pp. 949-
956, 2024, doi: 10.1109/ACCESS.2023.3346894.
2. O. H. Kesav and R. G. K, "A Systematic Study on Enhanced Deep Learning Based Methodologies for Detection and Classification of
Early Stage Cancers," 2023 IEEE 5th International Conference on Cybernetics, Cognition and Machine Learning Applications
(ICCCMLA), Hamburg, Germany, 2023, pp. 328-333, doi: 10.1109/ICCCMLA58983.2023.10346973.
3. Mahdi Gilany1, Paul Wilson1, Andrea Perera-Ortega “TRUSformer: Improving Prostate Cancer Detection from Micro-Ultrasound Using Attention and Self-Supervision” arXiv:2303.02128v1 [eess.IV] 3 Mar 2023
4. A. İ. Sarı, B. Dervişoğlu and A. Rovshenov, "Early Detection of Skin Cancer with Mobile Application Using Artificial Intelligence
Techniques," 2022 Innovations in Intelligent Systems and Applications Conference (ASYU), Antalya, Turkey, 2022, pp. 1-6, doi:
10.1109/ASYU56188.2022.9925565
5. X. Li, Y. Chai, K. Zhang, W. Chen and P. Huang, "Early gastric cancer detection based on the combination of convolutional neural
network and attention mechanism," 2021 China Automation Congress (CAC), Beijing, China, 2021, pp. 5731-5735, doi:
10.1109/CAC53003.2021.9728413.
6. Woo S, et al. CBAM: Convolutional Block Attention Module[J]. Springer, Cham, 2018.
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