Kumar, G. S. C., Mulugu, N., Kamal, M. V., Srilakshmi, V., & Bethel, G. N. B. (2025). OFT-DNN-EATLSS: An Enhanced Deep Learning-Based Approach for Efficient Cirrhosis Liver Disease Classification and Segmentation Using Multimodality Images. Biomedical Materials & Devices, 1-24. https://doi.org/10.1007/s44174-025-00556-2
ISO-690 (author-date, English)KUMAR, G. Sai Chaitanya, MULUGU, Narendhar, KAMAL, M. Vijaya, SRILAKSHMI, V. und BETHEL, G. N. Beena, 2025. OFT-DNN-EATLSS: An Enhanced Deep Learning-Based Approach for Efficient Cirrhosis Liver Disease Classification and Segmentation Using Multimodality Images. Biomedical Materials & Devices. 15 Oktober 2025. P. 1-24. DOI 10.1007/s44174-025-00556-2.
Modern Language Association 9th editionKumar, G. S. C., N. Mulugu, M. V. Kamal, V. Srilakshmi, und G. N. B. Bethel. „OFT-DNN-EATLSS: An Enhanced Deep Learning-Based Approach for Efficient Cirrhosis Liver Disease Classification and Segmentation Using Multimodality Images“. Biomedical Materials & Devices, Oktober 2025, S. 1-24, https://doi.org/10.1007/s44174-025-00556-2.
Mohr Siebeck - Recht (Deutsch - Österreich)Kumar, G. Sai Chaitanya/Mulugu, Narendhar/Kamal, M. Vijaya/Srilakshmi, V./Bethel, G. N. Beena: OFT-DNN-EATLSS: An Enhanced Deep Learning-Based Approach for Efficient Cirrhosis Liver Disease Classification and Segmentation Using Multimodality Images, Biomedical Materials & Devices 2025, 1-24.
Emerald - HarvardKumar, G.S.C., Mulugu, N., Kamal, M.V., Srilakshmi, V. und Bethel, G.N.B. (2025), „OFT-DNN-EATLSS: An Enhanced Deep Learning-Based Approach for Efficient Cirrhosis Liver Disease Classification and Segmentation Using Multimodality Images“, Biomedical Materials & Devices, S. 1-24.