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cyclegan-abnormal2normal
- ieee-dataport.org
Updated Jul 8, 2024
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EmailClick to copy linkLink copiedCiteYanjie Zhu (2024). cyclegan-abnormal2normal [Dataset]. https://ieee-dataport.org/documents/cyclegan-abnormal2normalDataset updatedJul 8, 2024AuthorsYanjie ZhuLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionAccurate detection and segmentation of brain tumors is critical for medical diagnosis. We propose a novel framework Two-Stage Generative Model (TSGM) that combines Cycle Generative Adversarial Network (CycleGAN) and Variance Exploding stochastic differential equation using joint probability (VE-JP) to improve brain tumor segmentation. TSGM was trained on the BraTs2020 brain tumor dataset.
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Fatturato annuo
- reportaziende.it
ShareFacebookTwitterEmailClick to copy linkLink copiedCiteMedia Asset, Fatturato annuo [Dataset]. https://www.reportaziende.it/tsgm_societa_cooperativa_mi_11344570962Dataset authored and provided byMedia AssetLicensehttps://www.reportaziende.it/termini_e_condizioni_d_uso_del_serviziohttps://www.reportaziende.it/termini_e_condizioni_d_uso_del_servizio
Variables measuredannualRevenueDescriptionFatturato per gli ultimi anni, elenco utili/perdita, costo dipendenti, soci esponenti e contatti per TSGM SOCIETA COOPERATIVA in MILANO (MI)
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Fatturato annuo
- reportaziende.it
ShareFacebookTwitterEmailClick to copy linkLink copiedCiteMedia Asset, Fatturato annuo [Dataset]. https://www.reportaziende.it/tsgm_laboratori_cosmetici_societa_a_responsabilita_limitata_semplificata_ce_04261070611Dataset authored and provided byMedia AssetLicensehttps://www.reportaziende.it/termini_e_condizioni_d_uso_del_serviziohttps://www.reportaziende.it/termini_e_condizioni_d_uso_del_servizio
Variables measuredannualRevenueDescriptionFatturato per gli ultimi anni, elenco utili/perdita, costo dipendenti, soci esponenti e contatti per TSGM LABORATORI COSMETICI SOCIETA A RESPONSABILITA LIMITATA SEMPLIFICATA in CASERTA (CE)
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FacebookTwitterEmailAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Accurate detection and segmentation of brain tumors is critical for medical diagnosis. We propose a novel framework Two-Stage Generative Model (TSGM) that combines Cycle Generative Adversarial Network (CycleGAN) and Variance Exploding stochastic differential equation using joint probability (VE-JP) to improve brain tumor segmentation. TSGM was trained on the BraTs2020 brain tumor dataset.