Open Access Open Access  Restricted Access Subscription or Fee Access

Detection Of Leukemia Using Digital Image Processing And Artificial Intelligence

Khan mohammed Shahnawaz, Mukesh kumar Saini

Abstract


ABSTRACT

The main aim of this paper is to detect leukemia and its staging using image processing and artificial intelligence. This evaluation ought to be done various blood slides of cancerous and noncancerous blood slide microscopic images through simulation using MATLAB along with artificial intelligence. It is also desirable to compare the results obtained with different parameters such as morphological operations like erosion, opening, shutting middle filtering, sharpening and applying Hough transform to converted blood slide images into grayscale. The thesis also includes the goal to determine a simulation environment that could be used as a platform for further studies within the area of leukemia detection using artificial intelligence.

 

Keywords; MATLAB, Artificial neural networks, Digital image processing, Image segmentation, Artificial Intelligence (AI).

Cite this Article: Khan mohammed Shahnawaz, Mukesh kumar Saini. Detection of leukemia using Digital image processing and artificial intelligence. International Journal of VLSI design and technology. 2019; 1(2): 13–21p.



Full Text:

PDF

References


Dr. P V Rama Raju, Ramesh Babu,. Naga Raju, Pavani, Srikanth, Ch.Lakshmi Sobha “Detection Of Leukemia Using Image Processing” Journal of Emerging Technologies and Innovative Research (JETIR), Vol.-4, Issue 11, pp. 123-127, November 2017.

Dr. T. Karthikeyan, N.Poornima “Microscopic Image Segmentation Using Fuzzy C Means For Leukemia Diagnosis” International Journal of Advanced Research in Science, Engineering and Technology, Vol.-4, Issue 1 , pp. 3136-3142, January 2017.

R. Suriyagrace, Dr. M. Devapriya “A Study on Image Processing Concepts Used for the Detection on Leukemia – A Survey” International Journal of Advanced Research in Computer Science and Software Engineering, Vol.-6, Issue 10, pp. 30-34, October 2016.

Ashwini Rejintal, Aswini N “Image Processing Based Leukemia Cancer Cell Detection”, International Journal of Engineering Research & Technology (IJERT), Vol.- 4, Issue 22 , pp. 471-474 , 2016.

Smita Bhole “A Survey On Acute Myelogeneous Leukemia Detection In Blood Microscopic Images” International Journal of Scientific & Engineering Research, Vol.- 7, Issue 5, pp. 1384-1389, May-2016.

Vasuki Shankar, Murali Mohan Deshpande, N Chaitra, S Aditi “Automatic detection of Acute Lymphoblasitc Leukemia using Image Processing” 2016 IEEE International Conference on Advances in Computer Applications (ICACA), Vol.-5(1), pp. 186-189, Coimbatore, 2016.

N. Poornima, Dr. T.Karthikeyan, "A survey on Image Processing Techniques used for Detection of leukemic Cells” International Journal of Advanced Research in Computer and Communication Engineering, Vol. 5, Issue 4, pp. 587-590, April 2016.

Dr. T. Karthikeyan, Dr. B. Ragavan, N. Poornima “A comparative study of algorithms used for leukemia detection” International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), Vol.-5, Issue 4, pp. 1070-1075, April 2016.

K. Dhana Shree, M. Saranya, G. Poorani, Dr. A. Grace Selvaran “A Survey for detecting Acute Lymphoblastic Leukaemia using Image Processing Techniques”, International Journal of Computer Science and Information Technologies, Vol. 6 (5), pp. 4770-4773, 2015.

Swarnalatha P, Anbarasi M., Aman Sharma And Ganesh M “Prediction of leukaemia cancer images using parallel saliency algorithm” International Journal of Pharma and Bio Sciences. Vol.-6(2) pp. 226-P232, 2015.

Subhan, Ms. Parminder Kaur “Significant Analysis of Leukemic Cells Extraction and Detection Using KNN and Hough Transform Algorithm” International Journal of Computer Science Trends and Technology (IJCST), Vol.- 3 Issue 1, pp. 27-33, Jan-Feb 2015.

Shailesh J. Mishra , Mrs. A.P. Deshmukh “Detection Of Leukemia Using Matlab” International Journal of Advanced Research in Electronics and Communication Engineering (IJARECE), Vol.- 4, Issue 2, pp. 394-398, February 2015.

Niranjan Chatap , Sini Shibu “Analysis of blood samples for counting leukemia cells using Support vector machine and nearest neighbor” IOSR Journal of Computer Engineering (IOSR-JCE), Vol.-16, Issue 5, pp. 79-87, Sep – Oct. 2014.

Sos Agaian, Senior Member, Monica Madhukar, and Anthony T. Chronopoulos, Senior Member, "Automated Screening System for Acute Myelogenous Leukemia Detection in Blood Microscopic Images”, IEEE Systems Journal, Vol.-8, Issue: 3, pp. 995-1004, Sept. 2014.

Mashiat Fatma, Jaya Sharma “A Survey on Image Segmentation Techniques Used In Leukemia Detection’’ Journal of Engineering Research and Applications, Vol.-4, Issue 5, pp. 99-71, May 2014.

Shrutika Mahajan, Snehal S. Golait, Ashwini Meshram3, Nilima Jichlkan, “Review: Detection of Types of Acute Leukemia”, International Journal of Computer Science and Mobile Computing, Vol.-3, Issue.3, pp. 104-111, March- 2014.

Gaganjit Singh, Swarnalatha P, Tripathy B.K.,Swetha Kakani, “Convex Hull Based Wbc Computation For Leukaemia Detection”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol.-2, Issue 5, pp. 1843-1847, May 2013.

Fauziah Kasmin, Anton Satria Prabuwono, Azizi Abdullah, "Detection Of Leukemia In Human Blood Sample Based On Microscopic Images: A Study” Journal of Theoretical and Applied Information Technology. Vol.- 46, Issue 2, pp. 579-586, 31st December 2012.

Nurul Hazwani Abd Halim, Mohd Yusoff Mashor and Rosline Hassan “Automatic Blasts Counting for Acute Leukemia Based on Blood Samples”, International Journal of Research and Reviews in Computer Science (IJRRCS), Vol.-2, Issue 4, pp. 971-976, August 2011.




DOI: https://doi.org/10.37628/jvdt.v1i2.1135

Refbacks

  • There are currently no refbacks.