Cloud Based Medical Image Data Analytics in Healthcare Management


  • R A. Karthika
  • K Dhinakaran
  • D Poorvaja
  • A V. Shanbaga Priya





Cloud based medical image, data analytics, healthcare.


In today’s world, the images form a huge amount of unstructured data from the public and the corporate sector. As a result of the growth of these types of data, modern analytical systems need to interpret and assimilate images. This brings in the need of image processing which involves the transformation from images to analytically organized and structured data. It performs required operation on the given input image and returns the related outputs based on the query. Digital image processing has pushed the envelope for the appraisal in various domains such as healthcare, defense and security, remote sensing, robotic visions, pattern recognitions and satellites. The complication involved in the healthcare domain makes it suitable to explore and induce the concept of image processing and increases the potential for prescriptive analytics. The cloud combined with the Image Processing provides the best environment for analyzing these images using the proposed technique. The proposed work involves processing the input images using the cloud data analytics that provides a user-friendly environment and retrieves the relevant images as well as text for the given user query which produces the outputs that are more efficient in terms of parameters like time, size, security and speed comparatively with the existing data mining process.




[1] Dhinakaran K, Prasanthi K & Kumar P, “Distributed Image Processing Using HIPI Distributed Image Processing Using HIPIâ€, IJCTA, Vol.9, No.12, (2016), pp.5583-5589.

[2] Dhinakaran K, Silviya Nancy J & Saranya R, “Classification and Prediction of Earthquake and Tsunami using Big Data Analyticsâ€, Australian Journal of Basic and Applied Sciences, Vol.9, No.11, (2015), pp.611-616.

[3] Dhinakaran K, Silviya Nancy J & Duraimurugan N, “Video Analytics Using HDVFS In Cloud Environmentâ€, ARPN Journal of Engineering and Applied Sciences, Vol.10, No.13, (2015).

[4] Nikhita Reddy G & Ugander Reddy GJ, “Study of Cloud Computing in HealthCare Industryâ€, International Journal of Scientific & Engineering Research, Vol.4, No.9, (2013).

[5] Saichandana, B., Rachana Sri, G., Surendar, A., & Suniltej, B. (2017). Controlling of wall lamp using arduino. International Journal of Pure and Applied Mathematics, 116(24 Special Issue).

[6] Bahrami M & Singhal M, “The role of cloud computing architecture in big dataâ€, Information granularity, big data, and computational intelligence, (2015), pp.275-295.

[7] Vimalkumar, M. N., Helenprabha, K., & Surendar, A. (2017). Classification of mammographic image abnormalities based on emo and LS-SVM techniques. Research Journal of Biotechnology, 12(1), 35–40

[8] Lin CH, Huang LC, Chou SCT, Liu CH, Cheng HF & Chiang, IJ, “Temporal event tracing on big healthcare data analyticsâ€, IEEE International Congress on Big Data (BigData Congress), (2014), pp.281-287.

[9] Kumar M, “Digital Image Processingâ€, Photogrammetry and Remote Sensing Division Indian Institute of Remote Sensing.

[10] Lee JS, “Digital Image Enhancement and Noise Filtering by Use of Local Statisticsâ€, IEEE Transactions on Pattern Analysis and Machine Intelligence, (1980).

[11] Jung K, Kim KI & Jain AK, “Text information extraction in images and video: a surveyâ€, Pattern recognition, Vol.37, No.5, (2004), pp.977-997.

[12] Syal N & Garg NK, “A Study of Text Localization Algorithms for Complex Imagesâ€, International Journal of Innovative Research in Computer and Communication Engineering ,Vol.2, No.4, (2014).

[13] Wadhawan K & Gajendran E, “Automated Recognition of Text in Images: A Surveyâ€, International Journal of Computer Applications, Vol.127, No.15, (2015).

[14] G Ainabekova, Z Bayanbayeva, B Joldasbekova, A Zhaksylykov (2018). The author in esthetic activity and the functional text (on the basis of V. Mikhaylov’s narrative (“The chronicle of the great juteâ€). Opción, Año 33. 63-80.

[15] D, Ibrayeva, Z Salkhanova, B Joldasbekova, Zh Bayanbayeva (2018). The specifics of the art autobiography genre. Opción, Año 33. 126-151.

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