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. und 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 März 2022. Vol. 81, no. 6, p. 8575-8596. DOI 10.1007/s11042-022-12114-9.

Modern Language Association 9th edition

Deepa, B. G., und 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, Bd. 81, Nr. 6, März 2022, S. 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. und 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, S. 8575-8596.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.