Sindhu Achuthankutty, Ph.D.

Lecturer
EDUCATION

-   PhD in Computer Science (March 2021) – Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, INDIA.

            Area of Research: Image Processing and Machine Learning Techniques

            Title: An Optimized Feature-Based Framework for Pancreatic Cancer Detection.

-   Master of Philosophy in Computer Science (M.Phil.) (December 2015) – PSGR Krishnammal College for Women, Coimbatore, INDIA.

-   Master of Computer Applications (MCA) (April 2005) – Bharathiar University (Regular), Coimbatore, INDIA.

-   B. Sc Mathematics (April 2002) - Nirmala College for Women, Coimbatore, INDIA.

 

AWARDS

-   Received “BEST PAPER AWARD “in International Conference on Engineering and Advancement in Technology 2018 (ICEAT 2018) Organized OSIET in Association with Sri Krishna College of Engineering and Technology, March 22-23, 2018.
 

INTERNATIONAL JOURNAL PUBLICATION

-   A.Sindhu and V. Radha “An Optimal Feature Selection with Whale Algorithm and Adaboost Ensemble Model for Pancreatic Cancer classification in PET/CT Images”, Bioscience Biotechnology Research Communications(BBRC), Vol 13 No (4) Oct-Nov-Dec 2020. Pp. 1886-1894. Scopus Indexed

-   A.Sindhu and V. Radha “Pancreatic Tumor Segmentation Based on Optimized K-Means Clustering and Saliency Map Model” International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8 Issue-4, November 2019. Pp. 9276-9280. Scopus Indexed

-   A.Sindhu and V. Radha “An Analysis of techniques in Image Processing for detecting pancreatic tumour- A review.”, Journal of Advanced Research in Dynamical and Control Systems (JARDCS), Vol. 10, 03-Special Issue, 2018 (ISSN number: 1943-023X). Scopus Indexed

-   A.Sindhu and S.Meera “A Survey On Detecting Brain Tumour In MRI Images Using Image Processing Techniques” – IJIRCCE, Volume 3, Issue 1, January 2015. Pp. 123-129. (Impact Factor – 4.5). IJIRCCE. International Journal of Innovative Research in Computer and Communication Engineering. ISSN (Online) – 2320-9801, ISSN (Print)-2320-9798.

-   A.Sindhu and S.Meera “An ANN Approach For Classification of Brain Tumour Using Image Processing Techniques in MRI Images” IJESRT, Volume 4, Issue 12, December 2015. Pp. 340-346. (Impact Factor- 3.785). IJESRT. International Journal of Engineering Sciences and Research Technology.