American Psychological Association 6th edition

Deepa, B. G., & Senthil, S. (2022). Predicting invasive ductal carcinoma tissues in whole slide images of breast Cancer by using convolutional neural network model and multiple classifiers. Multimedia Tools and Applications: An International Journal, 81(6), 8575-8596. https://doi.org/10.1007/s11042-022-12114-9

ISO-690 (author-date, English)

DEEPA, B. G. and SENTHIL, S., 2022. Predicting invasive ductal carcinoma tissues in whole slide images of breast Cancer by using convolutional neural network model and multiple classifiers. Multimedia Tools and Applications: An International Journal. 1 March 2022. Vol. 81, no. 6, p. 8575-8596. DOI 10.1007/s11042-022-12114-9.

Modern Language Association 9th edition

Deepa, B. G., and S. Senthil. “Predicting Invasive Ductal Carcinoma Tissues in Whole Slide Images of Breast Cancer by Using Convolutional Neural Network Model and Multiple Classifiers”. Multimedia Tools and Applications: An International Journal, vol. 81, no. 6, Mar. 2022, pp. 8575-96, https://doi.org/10.1007/s11042-022-12114-9.

Mohr Siebeck - Recht (Deutsch - Österreich)

Deepa, B. G./Senthil, S.: Predicting invasive ductal carcinoma tissues in whole slide images of breast Cancer by using convolutional neural network model and multiple classifiers, Multimedia Tools and Applications: An International Journal 2022, 8575-8596.

Emerald - Harvard

Deepa, B.G. and Senthil, S. (2022), “Predicting invasive ductal carcinoma tissues in whole slide images of breast Cancer by using convolutional neural network model and multiple classifiers”, Multimedia Tools and Applications: An International Journal, Vol. 81 No. 6, pp. 8575-8596.

Warning: These citations may not always be 100% accurate.