Filtros : "Vasanthakumari, Priyanka" Limpar

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  • Source: Biomedical Optics Express. Unidade: IFSC

    Subjects: NEOPLASIAS CUTÂNEAS, DERMOSCOPIA, FLUORESCÊNCIA

    Versão PublicadaAcesso à fonteDOIHow to cite
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    • ABNT

      VASANTHAKUMARI, Priyanka et al. Pixel-level classification of pigmented skin cancer lesions using multispectral autofluorescence lifetime dermoscopy imaging. Biomedical Optics Express, v. 15, n. 8, p. 4557-4583, 2024Tradução . . Disponível em: https://doi.org/10.1364/BOE.523831. Acesso em: 10 nov. 2024.
    • APA

      Vasanthakumari, P., Romano, R. A., Rosa, R. G. T., Sálvio, A. G., Yakovlev, V., Kurachi, C., et al. (2024). Pixel-level classification of pigmented skin cancer lesions using multispectral autofluorescence lifetime dermoscopy imaging. Biomedical Optics Express, 15( 8), 4557-4583. doi:10.1364/BOE.523831
    • NLM

      Vasanthakumari P, Romano RA, Rosa RGT, Sálvio AG, Yakovlev V, Kurachi C, Hirshburg JM, Jo JA. Pixel-level classification of pigmented skin cancer lesions using multispectral autofluorescence lifetime dermoscopy imaging [Internet]. Biomedical Optics Express. 2024 ; 15( 8): 4557-4583.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1364/BOE.523831
    • Vancouver

      Vasanthakumari P, Romano RA, Rosa RGT, Sálvio AG, Yakovlev V, Kurachi C, Hirshburg JM, Jo JA. Pixel-level classification of pigmented skin cancer lesions using multispectral autofluorescence lifetime dermoscopy imaging [Internet]. Biomedical Optics Express. 2024 ; 15( 8): 4557-4583.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1364/BOE.523831
  • Source: Proceedings of SPIE. Conference titles: Photonics West. Unidade: IFSC

    Subjects: NEOPLASIAS (TRATAMENTO), TERAPIA FOTODINÂMICA, ÓPTICA (DIAGNÓSTICO)

    PrivadoAcesso à fonteDOIHow to cite
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    • ABNT

      VASANTHAKUMARI, Priyanka et al. AI-driven discrimination of benign from malignant pigmented skin lesions based on multispectral autofluorescence lifetime dermoscopy imaging (Presentation+Paper). Proceedings of SPIE. Bellingham: International Society for Optical Engineering - SPIE. Disponível em: https://doi.org/10.1117/12.2610345. Acesso em: 10 nov. 2024. , 2022
    • APA

      Vasanthakumari, P., Romano, R. A., Rosa, R. G. T., Salvio, A. G., Yakovlev, V., Kurachi, C., & Jo, J. A. (2022). AI-driven discrimination of benign from malignant pigmented skin lesions based on multispectral autofluorescence lifetime dermoscopy imaging (Presentation+Paper). Proceedings of SPIE. Bellingham: International Society for Optical Engineering - SPIE. doi:10.1117/12.2610345
    • NLM

      Vasanthakumari P, Romano RA, Rosa RGT, Salvio AG, Yakovlev V, Kurachi C, Jo JA. AI-driven discrimination of benign from malignant pigmented skin lesions based on multispectral autofluorescence lifetime dermoscopy imaging (Presentation+Paper) [Internet]. Proceedings of SPIE. 2022 ; 11934 1193408-1-1193408-13.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1117/12.2610345
    • Vancouver

      Vasanthakumari P, Romano RA, Rosa RGT, Salvio AG, Yakovlev V, Kurachi C, Jo JA. AI-driven discrimination of benign from malignant pigmented skin lesions based on multispectral autofluorescence lifetime dermoscopy imaging (Presentation+Paper) [Internet]. Proceedings of SPIE. 2022 ; 11934 1193408-1-1193408-13.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1117/12.2610345
  • Source: Abstracts. Conference titles: Photonics West. Unidade: IFSC

    Subjects: NEOPLASIAS (TRATAMENTO), TERAPIA FOTODINÂMICA, ÓPTICA (DIAGNÓSTICO)

    Versão PublicadaAcesso à fonteHow to cite
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    • ABNT

      VASANTHAKUMARI, Priyanka et al. AI-driven discrimination of benign from malignant pigmented skin lesions based on multispectral autofluorescence lifetime dermoscopy imaging. 2022, Anais.. Bellingham: International Society for Optical Engineering - SPIE, 2022. Disponível em: https://spie.org/photonics-west/presentation/AI-driven-discrimination-of-benign-from-malignant-pigmented-skin-lesions/11934-28. Acesso em: 10 nov. 2024.
    • APA

      Vasanthakumari, P., Romano, R. A., Salvio, A. G., Yakovlev, V., Kurachi, C., & Jo, J. A. (2022). AI-driven discrimination of benign from malignant pigmented skin lesions based on multispectral autofluorescence lifetime dermoscopy imaging. In Abstracts. Bellingham: International Society for Optical Engineering - SPIE. Recuperado de https://spie.org/photonics-west/presentation/AI-driven-discrimination-of-benign-from-malignant-pigmented-skin-lesions/11934-28
    • NLM

      Vasanthakumari P, Romano RA, Salvio AG, Yakovlev V, Kurachi C, Jo JA. AI-driven discrimination of benign from malignant pigmented skin lesions based on multispectral autofluorescence lifetime dermoscopy imaging [Internet]. Abstracts. 2022 ;[citado 2024 nov. 10 ] Available from: https://spie.org/photonics-west/presentation/AI-driven-discrimination-of-benign-from-malignant-pigmented-skin-lesions/11934-28
    • Vancouver

      Vasanthakumari P, Romano RA, Salvio AG, Yakovlev V, Kurachi C, Jo JA. AI-driven discrimination of benign from malignant pigmented skin lesions based on multispectral autofluorescence lifetime dermoscopy imaging [Internet]. Abstracts. 2022 ;[citado 2024 nov. 10 ] Available from: https://spie.org/photonics-west/presentation/AI-driven-discrimination-of-benign-from-malignant-pigmented-skin-lesions/11934-28
  • Source: Journal of Biomedical Optics. Unidade: IFSC

    Subjects: NEOPLASIAS (TRATAMENTO), TERAPIA FOTODINÂMICA, ÓPTICA (DIAGNÓSTICO)

    Versão PublicadaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      VASANTHAKUMARI, Priyanka et al. Discrimination of cancerous from benign pigmented skin lesions based on multispectral autofluorescence lifetime imaging dermoscopy and machine learning. Journal of Biomedical Optics, v. 27, n. 6, p. 066002-1-066002-26, 2022Tradução . . Disponível em: https://doi.org/10.1117/1.JBO.27.6.066002. Acesso em: 10 nov. 2024.
    • APA

      Vasanthakumari, P., Romano, R. A., Rosa, R. G. T., Salvio, A. G., Yakovlev, V., Kurachi, C., et al. (2022). Discrimination of cancerous from benign pigmented skin lesions based on multispectral autofluorescence lifetime imaging dermoscopy and machine learning. Journal of Biomedical Optics, 27( 6), 066002-1-066002-26. doi:10.1117/1.JBO.27.6.066002
    • NLM

      Vasanthakumari P, Romano RA, Rosa RGT, Salvio AG, Yakovlev V, Kurachi C, Hirshburg JM, Jo JA. Discrimination of cancerous from benign pigmented skin lesions based on multispectral autofluorescence lifetime imaging dermoscopy and machine learning [Internet]. Journal of Biomedical Optics. 2022 ; 27( 6): 066002-1-066002-26.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1117/1.JBO.27.6.066002
    • Vancouver

      Vasanthakumari P, Romano RA, Rosa RGT, Salvio AG, Yakovlev V, Kurachi C, Hirshburg JM, Jo JA. Discrimination of cancerous from benign pigmented skin lesions based on multispectral autofluorescence lifetime imaging dermoscopy and machine learning [Internet]. Journal of Biomedical Optics. 2022 ; 27( 6): 066002-1-066002-26.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1117/1.JBO.27.6.066002
  • Source: Abstracts. Conference titles: Medical Imaging. Unidade: IFSC

    Subjects: TERAPIA FOTODINÂMICA, NEOPLASIAS (TRATAMENTO), ÓPTICA (DIAGNÓSTICO)

    Acesso à fonteHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      VASANTHAKUMARI, Priyanka et al. Classification of skin-cancer lesions based on fluorescence lifetime imaging. 2020, Anais.. Bellingham: International Society for Optical Engineering - SPIE, 2020. Disponível em: https://spie.org/MI/conferencedetails/biomedical-applications. Acesso em: 10 nov. 2024.
    • APA

      Vasanthakumari, P., Romano, R. A., Rosa, R. G. T., Salvio, A. G., Kurachi, C., & Jo, J. A. (2020). Classification of skin-cancer lesions based on fluorescence lifetime imaging. In Abstracts. Bellingham: International Society for Optical Engineering - SPIE. Recuperado de https://spie.org/MI/conferencedetails/biomedical-applications
    • NLM

      Vasanthakumari P, Romano RA, Rosa RGT, Salvio AG, Kurachi C, Jo JA. Classification of skin-cancer lesions based on fluorescence lifetime imaging [Internet]. Abstracts. 2020 ;[citado 2024 nov. 10 ] Available from: https://spie.org/MI/conferencedetails/biomedical-applications
    • Vancouver

      Vasanthakumari P, Romano RA, Rosa RGT, Salvio AG, Kurachi C, Jo JA. Classification of skin-cancer lesions based on fluorescence lifetime imaging [Internet]. Abstracts. 2020 ;[citado 2024 nov. 10 ] Available from: https://spie.org/MI/conferencedetails/biomedical-applications
  • Source: Proceedings of SPIE. Conference titles: Medical Imaging. Unidade: IFSC

    Subjects: TERAPIA FOTODINÂMICA, NEOPLASIAS (TRATAMENTO), ÓPTICA (DIAGNÓSTICO)

    Versão PublicadaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      VASANTHAKUMARI, Priyanka et al. Classification of skin-cancer lesions based on fluorescence lifetime imaging. Proceedings of SPIE. Bellingham: International Society for Optical Engineering - SPIE. Disponível em: https://doi.org/10.1117/12.2548625. Acesso em: 10 nov. 2024. , 2020
    • APA

      Vasanthakumari, P., Romano, R. A., Rosa, R. G. T., Salvio, A. G., Yakovlev, V., Kurachi, C., & Jo, J. A. (2020). Classification of skin-cancer lesions based on fluorescence lifetime imaging. Proceedings of SPIE. Bellingham: International Society for Optical Engineering - SPIE. doi:10.1117/12.2548625
    • NLM

      Vasanthakumari P, Romano RA, Rosa RGT, Salvio AG, Yakovlev V, Kurachi C, Jo JA. Classification of skin-cancer lesions based on fluorescence lifetime imaging [Internet]. Proceedings of SPIE. 2020 ; 11317 113170Z-1-113170Z-9.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1117/12.2548625
    • Vancouver

      Vasanthakumari P, Romano RA, Rosa RGT, Salvio AG, Yakovlev V, Kurachi C, Jo JA. Classification of skin-cancer lesions based on fluorescence lifetime imaging [Internet]. Proceedings of SPIE. 2020 ; 11317 113170Z-1-113170Z-9.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1117/12.2548625

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