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and P.B, BJMB, et al.  2019.  Segmentation Based Preprocessing Techniques for Predicting the Cervix Type Using Neural Networks, Nov 9. Computational Vision and Bio-Inspired Computing. ICCVBIC 2019. Advances in Intelligent Systems and Computing.
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Francis, S, B JP.  2022.  ThoraxNet: a 3D U-Net based two-stage framework for OAR segmentation on thoracic CT images. Physical and Engineering Sciences inMedicine. :1-15.
Jisna Antony, J& PB, et al.  2018.  Towards Building a Coordinate Clustered Library for Template-Based Modeling of Protein Structures, Dec 8. IEEE Recent Advances in Intelligent Computational Systems (RAICS).
Jayaraj, et al.  2020.  Towards Protein Tertiary Structure Prediction using LSTM/BLSTM), Oct 14. in Fourth International Conference on Computing and Network Communications (CoCoNet'20), India . , Vellure, India: Springer