Znanstveni rad - Izvorni znanstveni rad
Applying Explainable Machine Learning Models for Detection of Breast Cancer Lymph Node Metastasis in Patients Eligible for Neoadjuvant Treatment
Cancers, 15 (2023), 3; 634. https://doi.org/10.3390/cancers15030634


Citirajte ovaj rad

Vrdoljak, J., Boban, Z., Barić, D., Šegvić, D., Kumrić, M., Avirović, M. ... Božić, J. (2023). Applying Explainable Machine Learning Models for Detection of Breast Cancer Lymph Node Metastasis in Patients Eligible for Neoadjuvant Treatment. Cancers, 15. (3). doi: 10.3390/cancers15030634

Vrdoljak, Josip, et al. "Applying Explainable Machine Learning Models for Detection of Breast Cancer Lymph Node Metastasis in Patients Eligible for Neoadjuvant Treatment." Cancers, vol. 15, br. 3, 2023. https://doi.org/10.3390/cancers15030634

Vrdoljak, Josip, Zvonimir Boban, Domjan Barić, Darko Šegvić, Marko Kumrić, Manuela Avirović, Melita Perić Balja, et al. "Applying Explainable Machine Learning Models for Detection of Breast Cancer Lymph Node Metastasis in Patients Eligible for Neoadjuvant Treatment." Cancers 15, br. 3 (2023). https://doi.org/10.3390/cancers15030634

Vrdoljak, J., et al. (2023) 'Applying Explainable Machine Learning Models for Detection of Breast Cancer Lymph Node Metastasis in Patients Eligible for Neoadjuvant Treatment', Cancers, 15(3). doi: 10.3390/cancers15030634

Vrdoljak J, Boban Z, Barić D, Šegvić D, Kumrić M, Avirović M, i sur.. Applying Explainable Machine Learning Models for Detection of Breast Cancer Lymph Node Metastasis in Patients Eligible for Neoadjuvant Treatment. Cancers [Internet]. 19.01.2023. [pristupljeno 13.11.2024.];15(3). doi: 10.3390/cancers15030634

J. Vrdoljak, et al., "Applying Explainable Machine Learning Models for Detection of Breast Cancer Lymph Node Metastasis in Patients Eligible for Neoadjuvant Treatment", Cancers, vol. 15, br. 3, Siječanj 2023. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:217:451410. [Citirano: 13.11.2024.]

Prijavite se u repozitorij kako biste mogli spremiti objekt u svoju listu.