D’Abbronzo, G.; D’Antonio, A.; De Chiara, A.; Panico, L.; Sparano, L.; Diluvio, A.; Sica, A.; Svanera, G.; Franco, R.; Ronchi, A.
Development of an Artificial-Intelligence-Based Tool for Automated Assessment of Cellularity in Bone Marrow Biopsies in Ph-Negative Myeloproliferative Neoplasms. Cancers 2024, 16, 1687.
https://doi.org/10.3390/cancers16091687
AMA Style
D’Abbronzo G, D’Antonio A, De Chiara A, Panico L, Sparano L, Diluvio A, Sica A, Svanera G, Franco R, Ronchi A.
Development of an Artificial-Intelligence-Based Tool for Automated Assessment of Cellularity in Bone Marrow Biopsies in Ph-Negative Myeloproliferative Neoplasms. Cancers. 2024; 16(9):1687.
https://doi.org/10.3390/cancers16091687
Chicago/Turabian Style
D’Abbronzo, Giuseppe, Antonio D’Antonio, Annarosaria De Chiara, Luigi Panico, Lucianna Sparano, Anna Diluvio, Antonello Sica, Gino Svanera, Renato Franco, and Andrea Ronchi.
2024. "Development of an Artificial-Intelligence-Based Tool for Automated Assessment of Cellularity in Bone Marrow Biopsies in Ph-Negative Myeloproliferative Neoplasms" Cancers 16, no. 9: 1687.
https://doi.org/10.3390/cancers16091687
APA Style
D’Abbronzo, G., D’Antonio, A., De Chiara, A., Panico, L., Sparano, L., Diluvio, A., Sica, A., Svanera, G., Franco, R., & Ronchi, A.
(2024). Development of an Artificial-Intelligence-Based Tool for Automated Assessment of Cellularity in Bone Marrow Biopsies in Ph-Negative Myeloproliferative Neoplasms. Cancers, 16(9), 1687.
https://doi.org/10.3390/cancers16091687