Dr. Deepika Koundal
Assistant Professor - Selection Grade


B.Tech, SKIET, Kurukshetra University, Kurukshetra

M.Tech, UIET, Panjab University, Chandigarh

Ph.D, UIET, Panjab University, Chandigarh


Area of Specialization:

Image Processing, Machine Learning, Deep Learning, Artificial Intelligence


Research & Publications:


International Journals:


Chetna Kaushal, Shiveta Bhat, Deepika Koundal, Anshu Singla, Recent Trends in Computer Assisted Diagnosis (CAD) System for Breast Cancer Diagnosis Using Histopathological Images , IRBM, Volume 40, Issue 4, August 2019, Pages 211-227, IF-0.934, H-index: 25


Koundal D, Gupta S, Singh S. Computer aided thyroid nodule detection system using medical ultrasound images. Biomedical Signal Processing and Control. 2018 Feb 28; 40:117-30. H-index:36, IF:2.943. DOI:  /10.1016/j.bspc.2017.08.025


Deepika Koundal. Texture based Image segmentation using Neutrosophic clustering. IET Image Processing. 11(8), pp. 640 – 645, 2017, (IF: 2.004). H-index: 26. DOI: 10.1049/iet-ipr.2017.0046


Koundal D, Gupta S, Singh S. Neutrosophic Based Nakagami Total Variation Method for Speckle Suppression in Thyroid Ultrasound Images. Innovation and Research in BioMedical engineering. 39(1), pp.43-53, 2017 Nov 27. IF-0.934, H-index: 25. DOI:  10.1016/j.irbm.2017.11.003


Koundal D, Gupta S, Singh S. Automated delineation of thyroid nodules in ultrasound images using spatial neutrosophic clustering and level set. Applied Soft Computing. Vol. 40, pp. 86-97, 2016, Impact Factor – 4.873. H-index:89. DOI:  10.1016/j.asoc.2015.11.035


Koundal D, Gupta S, Singh S. Speckle reduction method for thyroid ultrasound images in neutrosophic domain. IET Image Processing. 2016 Feb 1;10(2):167-75. (IF: 1.401) H-index: 26. DOI:  10.1049/iet-ipr.2015.0231.


Koundal D, Gupta S, Singh S. Nakagami-based total variation method for speckle reduction in thyroid ultrasound images. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine. 2016 Feb; 230(2):97-110. SAGE (IF: 1.124) DOI: 10.1177/0954411915621340. H-index: 64