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Disambiguation of "Sajeev, Shelda"

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Deep Learning to Improve Heart Disease Risk Prediction.

, , , , , , and . MLMECH/CVII-STENT@MICCAI, volume 11794 of Lecture Notes in Computer Science, page 96-103. Springer, (2019)

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Other publications of authors with the same name

Classifying infective keratitis using a deep learning approach., and . ACSW, page 20:1-20:4. ACM, (2021)Segmentation of Breast Masses in Local Dense Background Using Adaptive Clip Limit-CLAHE., , and . DICTA, page 1-8. IEEE, (2015)Superpixel pattern graphs for identifying breast mass ROIs in dense background: a preliminary study., , and . IWBI, volume 10718 of SPIE Proceedings, page 107180V. SPIE, (2018)Cardiovascular Risk Prediction Models: A Scoping Review., and . ACSW, page 21:1-21:5. ACM, (2019)Structured Micro-Pattern Based LBP Features for Classification of Masses in Dense Breasts., , and . DICTA, page 1-8. IEEE, (2017)Superpixel texture analysis for classification of breast masses in dense background., , and . IET Comput. Vis., 12 (6): 779-786 (2018)Evolutionary Population Dynamic Mechanisms for the Harmony Search Algorithm., , , , , and . ICHSA, volume 140 of Lecture Notes on Data Engineering and Communications Technologies, page 185-194. Springer, (2022)Improving Breast Mass Segmentation in Local Dense Background: An Entropy Based Optimization of Statistical Region Merging Method., , and . Digital Mammography / IWDM, volume 9699 of Lecture Notes in Computer Science, page 635-642. Springer, (2016)Graph Modeling for Identifying Breast Tumor Located in Dense Background of a Mammogram., , and . GLMI@MICCAI, volume 11849 of Lecture Notes in Computer Science, page 147-154. Springer, (2019)Deep Learning to Improve Heart Disease Risk Prediction., , , , , , and . MLMECH/CVII-STENT@MICCAI, volume 11794 of Lecture Notes in Computer Science, page 96-103. Springer, (2019)