Sindhu Achuthankutty, Ph.D.

10 Jul, 2023
Education

- Ph.D. 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 Publications
  • A. Sindhu & V. Radha. (2020). “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 & V. Radha. (2019). “Pancreatic Tumor Segmentation Based on Optimized K-Means Clustering and Saliency Map Model”. International Journal of Recent Technology and Engineering (IJRTE). ISSN: 2277-3878, Vol. 8, Issue 4, November 2019. pp. 9276-9280. Scopus Indexed
  • A. Sindhu & V. Radha. (2018). “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 & S. Meera. (2015). “A Survey On Detecting Brain Tumour In MRI Images Using Image Processing Techniques” – IJIRCCE, Vol. 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 & S. Meera. (2015). “An ANN Approach For Classification of Brain Tumour Using Image Processing Techniques in MRI Images”. International Journal of Engineering Sciences and Research Technology (IJESRT), Vol. 4, Issue 12, December 2015. pp. 340-346. (Impact Factor- 3.785).
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