Spatial organization and molecular correlation of tumor-infiltrating lymphocytes using deep learning on pathology images (2018)
- Authors:
- Saltz, Joel
- Gupta, Rajarsi
- Hou, Le
- Kurc, Tahsin
- Singh, Pankaj
- Nguyen, Vu
- Samaras, Dimitris
- Shroyer, Kenneth R.
- Zhao, Tianhao
- Batiste, Rebecca
- Van Arnam, John
- Shmulevich, Ilya
- Rao, Arvind
- Lazar, Alexander J.
- Sharma, Ashish
- Thorsson, Vésteinn
- Noushmehr, Houtan
- Carlotti Júnior, Carlos Gilberto
- Santos, José Sebastião dos
- Kemp, Rafael
- Sankarankuty, Ajith Kumar
- Tirapelli, Daniela Pretti da Cunha
- USP affiliated authors: NOUSHMEHR, HOUTAN - FMRP ; CARLOTTI JUNIOR, CARLOS GILBERTO - FMRP ; SANTOS, JOSÉ SEBASTIÃO DOS - FMRP ; KEMP, RAFAEL - FMRP ; SANKARANKUTTY, AJITH KUMAR - FMRP ; TIRAPELLI, DANIELA PRETTI DA CUNHA - FMRP
- Unidade: FMRP
- DOI: 10.1016/j.celrep.2018.03.086
- Subjects: NEOPLASIAS; APRENDIZADO COMPUTACIONAL; INTELIGÊNCIA ARTIFICIAL; BIOINFORMÁTICA; LINFÓCITOS
- Keywords: Digital pathology; Immuno-oncology; Machine learning; Lymphocytes; Tumor microenvironment; Deep learning; Tumor-infiltrating lymphocytes; Artificial intelligence; Bioinformatics; Computer vision
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Cell Reports
- ISSN: 2211-1247
- Volume/Número/Paginação/Ano: v. 23, n. 1, p. 181-193, 2018
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by-nc-nd
-
ABNT
SALTZ, Joel et al. Spatial organization and molecular correlation of tumor-infiltrating lymphocytes using deep learning on pathology images. Cell Reports, v. 23, n. 1, p. 181-193, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.celrep.2018.03.086. Acesso em: 23 abr. 2024. -
APA
Saltz, J., Gupta, R., Hou, L., Kurc, T., Singh, P., Nguyen, V., et al. (2018). Spatial organization and molecular correlation of tumor-infiltrating lymphocytes using deep learning on pathology images. Cell Reports, 23( 1), 181-193. doi:10.1016/j.celrep.2018.03.086 -
NLM
Saltz J, Gupta R, Hou L, Kurc T, Singh P, Nguyen V, Samaras D, Shroyer KR, Zhao T, Batiste R, Van Arnam J, Shmulevich I, Rao A, Lazar AJ, Sharma A, Thorsson V, Noushmehr H, Carlotti Júnior CG, Santos JS dos, Kemp R, Sankarankuty AK, Tirapelli DP da C. Spatial organization and molecular correlation of tumor-infiltrating lymphocytes using deep learning on pathology images [Internet]. Cell Reports. 2018 ; 23( 1): 181-193.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.celrep.2018.03.086 -
Vancouver
Saltz J, Gupta R, Hou L, Kurc T, Singh P, Nguyen V, Samaras D, Shroyer KR, Zhao T, Batiste R, Van Arnam J, Shmulevich I, Rao A, Lazar AJ, Sharma A, Thorsson V, Noushmehr H, Carlotti Júnior CG, Santos JS dos, Kemp R, Sankarankuty AK, Tirapelli DP da C. Spatial organization and molecular correlation of tumor-infiltrating lymphocytes using deep learning on pathology images [Internet]. Cell Reports. 2018 ; 23( 1): 181-193.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.celrep.2018.03.086 - Pathogenic germline variants in 10,389 adult cancers
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Informações sobre o DOI: 10.1016/j.celrep.2018.03.086 (Fonte: oaDOI API)
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