Dr. Sanjay  Nag

Dr. Sanjay Nag

Assistant Professor
Maulana Abul Kalam Azad University of Technology, India


Highest Degree
Ph.D. Student in Computer Science from University of Calcutta, India

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Area of Interest:

Biomedical Sciences
100%
Malaria Disease Diagnosis
62%
Image Processing
90%
Breast Cancer
75%
Medical Imaging
55%

Selected Publications

  1. Nag, S., S. Bhattacharya, R. Banerjee, I.K. Maitra and S.K. Bandyopadhyay, 2016. Pseudo-Grayscaling Technique: A Pre-Processing Step towards Pathological Slide Analysis. Eur. J. Biomed. Pharm. Sci., 3: 385-390.

  2. Nag, S., R. Dasgupta, S. Dutta, I.K. Maitra and S.K. Bandyopadhyay, 2016. Edge Detection of Digitised Histopathological Slide Images using Dynamic Thresholding. Eur. J. Pharm. Med. Res., 3: 532-537.
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  3. Nag, S., N. Basu and S.K. Bandyopadhyay, 2016. Detecting items hidden inside a body. J. Res., 1: 1-6.
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  4. Nag, S., B. Nabanita and K.B. Samir, 2016. White blood cell segmentation and malaria. Int. J. Curr. Med. Pham. Res., 2: 202-206.
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  5. Nag, S and K.B. Samir, 2016. Identification of malaria infection using HSV colour model and dynamic thresholding with image binarization. Innovative J. Med. Health Sci., 6: 31-34.
    CrossRef  |  Direct Link  |  

  6. Basu, N., S. Nag, I.K. Maitra and S.K. Bandyopadhyay, 2016. Artefact removal and edge detection from medical image. Eur. J. Biomed. Pharm. Sci., 3: 493-502.
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  7. Basu, N., S. Nag and S.K. Bandyopadhyay, 2016. Retrieval of facial expressions for facilitating crime investigation. Asian J. Sci. Technol., 7: 2381-2387.
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  8. Bandyopadhyay, S.K., S. Nag and N. Basu, 2016. A review on biometric security systems. World J. Eng. Res. Technol., 2: 34-45.
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  9. Roy, S., S. Nag, S.K. Bandyopadhyay, D. Bhattacharyya and T.H. Kim, 2015. Automated brain hemorrhage lesion segmentation and classification from MR image using an innovative composite method. J. Theor. Applied Inform. Technol., 78: 34-45.
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  10. Maitra, I.K., S. Nag, P. Saha and S.K. Bandyopadhyay, 2015. A Tree based Approach towards Edge Detection of Medical Image using MDT. Int. J. Comput. Graphics, 6: 37-56.
    CrossRef  |  Direct Link  |  

  11. Bandyopadhyay, S.K. and S. Nag, 2015. Detection of contour of the element of the wbc for malaria detection. Adv. Comput. Sci. Technol., 8: 7-15.

  12. Bhattacharjee, S., J. Mukherjee, S. Nag, I.K. Maitra and S.K. Bandyopadhyay, 2014. Review on histopathological slide analysis using digital microscopy. Int. J. Adv. Sci. Technol., 62: 65-96.
    CrossRef  |  Direct Link  |  

  13. Roy, S., S. Nag, I.K. Maitra and S.K. Bandyopadhyay, 2013. Artefact removal and skull elimination from MRI of brain image. Int. J. Scient. Eng. Res., 4: 163-170.
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  14. Roy, S., S. Nag, I.K. Maitra and S.K. Bandyopadhyay, 2013. A review on automated brain tumor detection and segmentation from MRI of brain. Int. J. Adv. Res. Comput. Sci. Software Eng., 3: 1706-1746.

  15. Maitra, I.K., S. Nag and S.K. Bandyopadhyay, 2013. Mammographic density estimation and classification using segmentation and progressive elimination method. Int. J. Image Graphics, Vol. 13. 10.1142/S0219467813500137.
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  16. Maitra, I.K., S. Nag and S.K. Bandyopadhyay, 2012. Technique for preprocessing of digital mammogram. Comput. Meth. Programs Biomed., 107: 175-188.
    PubMed  |  Direct Link  |  

  17. Maitra, I.K., S. Nag and S.K. Bandyopadhyay, 2012. Bilateral Breast Asymmetry Detection using Intensity Histogram and Landmark based Registration Technique. Int. J. Emerging Sci., 2: 383-404.
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  18. Maitra, I.K., S. Nag and S.K. Bandyopadhyay, 2012. A novel edge detection algorithm for digital mammogram. Int. J. Inform. Commun. Technol. Res., 2: 207-215.
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  19. Maitra, I.K., S.K. Bandyopadhyay and S. Nag, 2011. Detection and isolation of pectoral muscle from digital mammogram: An automated approach. Int. J. Adv. Res. Comput. Sci., 2: 375-380.
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  20. Maitra, I.K., S. Nag, B. Datta and S.K. Bandyopadhyay, 2011. Digital Steganalysis: Review on Recent Approaches. J. Global Res. Comput. Sci., 2: 1-5.

  21. Maitra, I.K., S. Nag and S.K. Bandyopadhyay, 2011. Identification of abnormal masses in digital mammography images. Int. J. Comput. Graphics, 2: 17-30.
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  22. Maitra, I.K., S. Nag and S.K. Bandyopadhyay, 2011. Detection of abnormal masses using divide and conquer algorithmin digital mammogram. Int. J. Emerg. Sci., 1: 767-786.
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  23. Maitra, I.K., S. Nag and S.K. Bandyopadhyay, 2011. Artifact suppression and homogenous orientation of digital mammogram using seeded region growing algorithm. Int. J. Comput. Inform. Syst., 3: 32-38.

  24. Maitra, I.K., S. Nag and S.K. Bandyopadhyay, 2011. Accurate breast contour detection algorithms in digital mammogram. Int. J. Comput. Applic., 25: 1-13.
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  25. Maitra, I.K., S. Nag and S. Bandyopadhyay, 2011. Automated digital mammogram segmentation for detection of abnormal masses using Binary homogeneity enhancement algorithm. J. Comput. Sci. Eng., 2: 416-427.
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  26. Bandyopadhyay, S.K., I.K. Maitra and S. Nag, 2011. Central tendency of intensity for digital mammogram registration-comparitive analysis. J. Curr. Comput. Sci. Technol., 1: 329-339.
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