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: 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: 29 dez. 2025. -
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 2025 dez. 29 ] 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 2025 dez. 29 ] Available from: https://doi.org/10.1016/j.celrep.2018.03.086 - Molecular characterization and clinical relevance of metabolic expression subtypes in human cancers
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Informações sobre o DOI: 10.1016/j.celrep.2018.03.086 (Fonte: oaDOI API)
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