Medical Image Segmentation Using Advanced Machine Learning Algorithms (Learning Active Contour Models)
Keywords:
convolutional neural networks, segmentation, deep learning
Abstract
Picture segmentation is a huge development in the preparation of diagnostic photographs that has typically been read and developed to refine scientific studies and implementations. New models based on deep learning, though, have enhanced performance, but are restricted to the segmentation map's pixel-wise fitting. Our aim was to overcome this limit by developing another model focused on deep learning that considers the region within as well as outside the premium sector, as the scale of boundaries during learning. In specific, we suggest another misfortune job that integrates area and scale data and blends this into a dense model of deep learning. On a sample containing more than 2,000 cardiac MRI scans, we tested our methods.
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References
Jubin Dipakkumar Kothari, (2018) “A Case Study of Image Classification Based on Deep Learning Using Tensorflow” International Journal of Innovative Research in Computer and Communication Engineering, Vol. 6, Issue 4, April 2018, Page 3888-3892.
Vishal Dineshkumar Soni. (2019). IOT connected with e-learning. International Journal on Integrated Education, 2(5), 273-277. https://doi.org/10.31149/ijie.v2i5.496
Balne Sridevi (2019), REVIEW ON CHALLENGES IN SAAS MODEL IN CLOUD COMPUTING, Journal For Innovative Development in Pharmaceutical and Technical Science, Volume-2,Issue-3 (Mar-2019), PP 45-49.
Soni, Ankit Narendrakumar, Diabetes Mellitus Prediction Using Ensemble Machine Learning Techniques (July 3, 2020). Available at SSRN: https://ssrn.com/abstract=3642877 or http://dx.doi.org/10.2139/ssrn.3642877.
Jubin Dipakkumar Kothari, (2018) “Plant Disease Identification using Artificial Intelligence: Machine Learning Approach” International Journal of Innovative Research in Science, Engineering and Technology, Vol. 7, Issue 11, November 2018, Page 11082- 11085.
Vishal Dineshkumar Soni. (2018). IOT BASED PARKING LOT. International Engineering Journal For Research & Development, 3(1), 9. https://doi.org/10.17605/OSF.IO/9GSAR
Ankit Narendrakumar Soni (2018). Data Center Monitoring using an Improved Faster Regional Convolutional Neural Network. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 7(4), 1849-1853.
Soni, Vishal Dineshkumar and Soni, Ankit Narendrakumar and POTHUGANTI, KARUNAKAR, Student Body Temperature and Physical Distance Management Device in Classroom Using 3D Stereoscopic Distance Measurement (2020). International Journal of Innovative Research in Science Engineering and Technology 9(9):9294-9299 (2020).
Karunakar Pothuganti, Aredo Haile, Swathi Pothuganti,(2016)” A Comparative Study of Real Time Operating Systems for Embedded Systems” International Journal of Innovative Research in Computer and Communication Engineering, Vol. 4, Issue 6, June 2016.
Balne Sridevi (2015), Recovery of Data in Cluster Computing By Using Fault Tolerant Mechanisms, IOSR Journal of Computer Engineering (IOSR-JCE), Volume 17, Issue 1, Ver. II (Jan – Feb. 2015), PP 40-45.
Vishal Dineshkumar Soni. (2019). IOT connected with e-learning. International Journal on Integrated Education, 2(5), 273-277. https://doi.org/10.31149/ijie.v2i5.496
Balne Sridevi (2019), REVIEW ON CHALLENGES IN SAAS MODEL IN CLOUD COMPUTING, Journal For Innovative Development in Pharmaceutical and Technical Science, Volume-2,Issue-3 (Mar-2019), PP 45-49.
Soni, Ankit Narendrakumar, Diabetes Mellitus Prediction Using Ensemble Machine Learning Techniques (July 3, 2020). Available at SSRN: https://ssrn.com/abstract=3642877 or http://dx.doi.org/10.2139/ssrn.3642877.
Jubin Dipakkumar Kothari, (2018) “Plant Disease Identification using Artificial Intelligence: Machine Learning Approach” International Journal of Innovative Research in Science, Engineering and Technology, Vol. 7, Issue 11, November 2018, Page 11082- 11085.
Vishal Dineshkumar Soni. (2018). IOT BASED PARKING LOT. International Engineering Journal For Research & Development, 3(1), 9. https://doi.org/10.17605/OSF.IO/9GSAR
Ankit Narendrakumar Soni (2018). Data Center Monitoring using an Improved Faster Regional Convolutional Neural Network. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 7(4), 1849-1853.
Soni, Vishal Dineshkumar and Soni, Ankit Narendrakumar and POTHUGANTI, KARUNAKAR, Student Body Temperature and Physical Distance Management Device in Classroom Using 3D Stereoscopic Distance Measurement (2020). International Journal of Innovative Research in Science Engineering and Technology 9(9):9294-9299 (2020).
Karunakar Pothuganti, Aredo Haile, Swathi Pothuganti,(2016)” A Comparative Study of Real Time Operating Systems for Embedded Systems” International Journal of Innovative Research in Computer and Communication Engineering, Vol. 4, Issue 6, June 2016.
Balne Sridevi (2015), Recovery of Data in Cluster Computing By Using Fault Tolerant Mechanisms, IOSR Journal of Computer Engineering (IOSR-JCE), Volume 17, Issue 1, Ver. II (Jan – Feb. 2015), PP 40-45.
Published
2021-02-28
How to Cite
Jubin Dipakkumar Kothari. (2021). Medical Image Segmentation Using Advanced Machine Learning Algorithms (Learning Active Contour Models). Central Asian Journal of Theoretical and Applied Science, 2(2), 95-99. Retrieved from https://cajotas.centralasianstudies.org/index.php/CAJOTAS/article/view/78
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Articles
