Abstract
The real-time issue of reliability segmenting root structure while using X-Ray Computed Tomography (CT) images is addressed in this work. A deep learning approach is proposed using a novel framework, involving decoders and encoders. The encoders-decoders framework is useful to improve multiple resolution by means of upsampling and downsampling images. The methodology of the work is enhanced by incorporating network branches with individual tasks using low-resolution context information and high-resolution segmentation. In large volumetric images, it is possible to resolve small root details by implementing a memory efficient system, resulting in the formation of a complete network. The proposed work, recent image analysis tool developed for root CT segmented is compared with several other previously existing methodology and it is found that this methodology is more efficient. Quantitatively and qualitatively, it is found that a multiresolution approach provides high accuracy in a shallower network with a large receptive field or deep network in a small receptive field. An incremental learning approach is also embedded to enhance the performance of the system. Moreover, it is also capable of detecting fine and large root materials in the entire volume. The proposed work is fully automated and doesn’t require user interaction.
References
Verbitskiy, S., Berikov, V., & Vyshegorodtsev, V. (2021). Eranns: Efficient residual audio neural networks for audio pattern recognition. arXiv preprint arXiv:2106.01621.
Adam, E. E. B. (2020). Deep Learning based NLP Techniques In Text to Speech Synthesis for Communication Recognition. Journal of Soft Computing Paradigm (JSCP), 2(04), 209-215.
Xu, K., Zhu, B., Kong, Q., Mi, H., Ding, B., Wang, D., & Wang, H. (2019). General audio tagging with ensembling convolutional neural networks and statistical features. The Journal of the Acoustical Society of America, 145(6), EL521-EL527.
Rodrigo, W. U. D., H. U. W. Ratnayake, and I. A. Premaratne. "Identification of Music Instruments from a Music Audio File." In Proceedings of International Conference on Sustainable Expert Systems: ICSES 2020, vol. 176, p. 335. Springer Nature, 2021.
Vijayakumar, T. (2019). Comparative study of capsule neural network in various applications. Journal of Artificial Intelligence, 1(01), 19-27.
de Benito-Gorron, D., Lozano-Diez, A., Toledano, D. T., & Gonzalez-Rodriguez, J. (2019). Exploring convolutional, recurrent, and hybrid deep neural networks for speech and music detection in a large audio dataset. EURASIP Journal on Audio, Speech, and Music Processing, 2019(1), 1-18.
Sungheetha, Akey, and Rajesh Sharma. "Design an Early Detection and Classification for Diabetic Retinopathy by Deep Feature Extraction based Convolution Neural Network." Journal of Trends in Computer Science and Smart technology (TCSST) 3, no. 02 (2021): 81-94.
Sankar, MS Arun, Tharak Sai Bobba, and PS Sathi Devi. "Stage Audio Classifier Using Artificial Neural Network." In International Conference on Communication, Computing and Electronics Systems, pp. 139-147. Springer, Singapore, 2020.
Nanni, L., Maguolo, G., Brahnam, S., & Paci, M. (2021). An ensemble of convolutional neural networks for audio classification. Applied Sciences, 11(13), 5796.
Balasubramaniam, Vivekanadam. "Artificial Intelligence Algorithm with SVM Classification using Dermascopic Images for Melanoma Diagnosis." Journal of Artificial Intelligence and Capsule Networks 3, no. 1 (2021): 34-42.
Ghubaish, A., Salman, T., Zolanvari, M., Unal, D., Al-Ali, A. K., & Jain, R. (2020). Recent advances in the internet of medical things (iomt) systems security. IEEE Internet of Things Journal.
Vachhani, Hrishikesh, Mohammad S. Obiadat, Arkesh Thakkar, Vyom Shah, Raj Sojitra, Jitendra Bhatia, and Sudeep Tanwar. "Machine learning based stock market analysis: A short survey." In International Conference on Innovative Data Communication Technologies and Application, pp. 12-26. Springer, Cham, 2019.
Hameed, S. S., Hassan, W. H., Latiff, L. A., & Ghabban, F. (2021). A systematic review of security and privacy issues in the internet of medical things; the role of machine learning approaches. PeerJ Computer Science, 7, e414.
Sathye, Rohit, Sumedh Deshprabhu, Mandar Surve, and Deepak C. Karia. "Smart Medicine Distributing Tray." In International Conference on Innovative Data Communication Technologies and Application, pp. 57-66. Springer, Cham, 2019.
Razdan, S., & Sharma, S. (2021). Internet of Medical Things (IoMT): Overview, Emerging Technologies, and Case Studies. IETE Technical Review, 1-14.
Nene, Rajas, Pranay Narain, M. Mani Roja, and Medha Somalwar. "Fourier Descriptors Based Hand Gesture Recognition Using Neural Networks." In International Conference on Innovative Data Communication Technologies and Application, pp. 140-147. Springer, Cham, 2019.
Smys, S., and Wang Haoxiang. "Data Elimination on Repetition using a Blockchain based Cyber Threat Intelligence." IRO Journal on Sustainable Wireless Systems 2, no. 4 (2021): 149-154.
Raj, Jennifer S. "Security Enhanced Blockchain based Unmanned Aerial Vehicle Health Monitoring System." Journal of ISMAC 3, no. 02 (2021): 121-131.
Huang, X., & Nazir, S. (2020). Evaluating security of internet of medical things using the analytic network process method. Security and Communication Networks, 2020.
Hiremath, Shivarajkumar, and R. Sanjeev Kunte. "Public Auditing Scheme for Cloud Data Integrity Verification." In International Conference on Innovative Data Communication Technologies and Application, pp. 237-246. Springer, Cham, 2019.
Chakrabarty, Navoneel. "A Regression Approach to Distribution and Trend Analysis of Quarterly Foreign Tourist Arrivals in India." Journal of Soft Computing Paradigm (JSCP) 2, no. 01 (2020): 57-82.
Shirley, D. R. A. (2014, July). Systematic diagnosis of power switches. In 2014 International Conference on Embedded Systems (ICES) (pp. 32-34). IEEE.
Bhalaji, N. "Reliable Data Transmission with Heightened Confidentiality and Integrity in IOT Empowered Mobile Networks." Journal of ISMAC 2, no. 02 (2020): 106-117.
Valanarasu, Mr R. "Comparative Analysis for Personality Prediction by Digital Footprints in Social Media." Journal of Information Technology 3, no. 02 (2021): 77-91.
Senthilkumar, M., Kavitha, V. R., Kumar, M. S., Raj, P. A. C., & Shirley, D. R. A. (2021, March). Routing in a Wireless Sensor Network using a Hybrid Algorithm to Improve the Lifetime of the Nodes. In IOP Conference Series: Materials Science and Engineering (Vol. 1084, No. 1, p. 012051). IOP Publishing.