Filtros : "Vasanthakumari, Priyanka" Limpar

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  • Fonte: Biomedical Optics Express. Unidade: IFSC

    Assuntos: NEOPLASIAS CUTÂNEAS, DERMOSCOPIA, FLUORESCÊNCIA

    Versão PublicadaAcesso à fonteDOIComo citar
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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: 02 dez. 2025.
    • 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 2025 dez. 02 ] 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 2025 dez. 02 ] Available from: https://doi.org/10.1364/BOE.523831
  • Fonte: Proceedings of SPIE. Nome do evento: Photonics West. Unidade: IFSC

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

    PrivadoAcesso à fonteDOIComo citar
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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: 02 dez. 2025. , 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 2025 dez. 02 ] 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 2025 dez. 02 ] Available from: https://doi.org/10.1117/12.2610345
  • Fonte: Abstracts. Nome do evento: Photonics West. Unidade: IFSC

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

    Versão PublicadaAcesso à fonteComo citar
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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: 02 dez. 2025.
    • 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 2025 dez. 02 ] 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 2025 dez. 02 ] Available from: https://spie.org/photonics-west/presentation/AI-driven-discrimination-of-benign-from-malignant-pigmented-skin-lesions/11934-28
  • Fonte: Journal of Biomedical Optics. Unidade: IFSC

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

    Versão PublicadaAcesso à fonteDOIComo citar
    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: 02 dez. 2025.
    • 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 2025 dez. 02 ] 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 2025 dez. 02 ] Available from: https://doi.org/10.1117/1.JBO.27.6.066002
  • Fonte: Abstracts. Nome do evento: Medical Imaging. Unidade: IFSC

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

    Acesso à fonteComo citar
    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: 02 dez. 2025.
    • 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 2025 dez. 02 ] 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 2025 dez. 02 ] Available from: https://spie.org/MI/conferencedetails/biomedical-applications
  • Fonte: Proceedings of SPIE. Nome do evento: Medical Imaging. Unidade: IFSC

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

    Versão PublicadaAcesso à fonteDOIComo citar
    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: 02 dez. 2025. , 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 2025 dez. 02 ] 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 2025 dez. 02 ] Available from: https://doi.org/10.1117/12.2548625

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