S. R., R., J., S., Joju, S. J., Gangula, M. R., & S., S. (2024). X-ray body Part Classification Using Custom CNN. EAI Endorsed Transactions on Pervasive Health & Technology, 10(1), 1-8. https://doi.org/10.4108/eetpht.10.5577
ISO-690 (author-date, English)S. R., Reeja, J., Sangameswar, JOJU, Solomon Joseph, GANGULA, Mrudhul Reddy und S., Sujith, 2024. X-ray body Part Classification Using Custom CNN. EAI Endorsed Transactions on Pervasive Health & Technology. 1 Januar 2024. Vol. 10, no. 1, p. 1-8. DOI 10.4108/eetpht.10.5577.
Modern Language Association 9th editionS. R., R., S. J., S. J. Joju, M. R. Gangula, und S. S. „X-Ray Body Part Classification Using Custom CNN.“. EAI Endorsed Transactions on Pervasive Health & Technology, Bd. 10, Nr. 1, Januar 2024, S. 1-8, https://doi.org/10.4108/eetpht.10.5577.
Mohr Siebeck - Recht (Deutsch - Österreich)S. R., Reeja/J., Sangameswar/Joju, Solomon Joseph/Gangula, Mrudhul Reddy/S., Sujith: X-ray body Part Classification Using Custom CNN., EAI Endorsed Transactions on Pervasive Health & Technology 2024, 1-8.
Emerald - HarvardS. R., R., J., S., Joju, S.J., Gangula, M.R. und S., S. (2024), „X-ray body Part Classification Using Custom CNN.“, EAI Endorsed Transactions on Pervasive Health & Technology, Vol. 10 No. 1, S. 1-8.