Source: Modern Pathology. Conference titles: Annual Meeting USCAP. Unidade: FMRP
Subjects: NEOPLASIAS PULMONARES, ADENOCARCINOMA, PULMÃO, ALGORITMOS, NEOPLASIAS PULMONARES
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LAMI, Kris et al. Extracting morphological features to differentiate histological subtypes of lung adenocarcinoma: an attempt to improve diagnostic accuracy by using a deep learning algorithm. Modern Pathology. Amsterdam: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1038/s41379-021-00772-3. Acesso em: 05 dez. 2025. , 2021APA
Lami, K., Attanoos, R., Beasley, M. B., Berezowska, S., Brcic, L., Cavazza, A., et al. (2021). Extracting morphological features to differentiate histological subtypes of lung adenocarcinoma: an attempt to improve diagnostic accuracy by using a deep learning algorithm. Modern Pathology. Amsterdam: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. doi:10.1038/s41379-021-00772-3NLM
Lami K, Attanoos R, Beasley MB, Berezowska S, Brcic L, Cavazza A, English J, Fabro AT, Ishida K, Kashima Y, Larsen B. Extracting morphological features to differentiate histological subtypes of lung adenocarcinoma: an attempt to improve diagnostic accuracy by using a deep learning algorithm [Internet]. Modern Pathology. 2021 ; 34 1116-1117.[citado 2025 dez. 05 ] Available from: https://doi.org/10.1038/s41379-021-00772-3Vancouver
Lami K, Attanoos R, Beasley MB, Berezowska S, Brcic L, Cavazza A, English J, Fabro AT, Ishida K, Kashima Y, Larsen B. Extracting morphological features to differentiate histological subtypes of lung adenocarcinoma: an attempt to improve diagnostic accuracy by using a deep learning algorithm [Internet]. Modern Pathology. 2021 ; 34 1116-1117.[citado 2025 dez. 05 ] Available from: https://doi.org/10.1038/s41379-021-00772-3
