Assessment of breast disease from bi-modal bi-view ultrasound images and text information by deep learning: a bicenter prospective cohort study : Assessment of breast disease from bi-modal bi-view ultrasound images and text information by deep learning: a bicenter prospective cohort study
| Medienart: |
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Klinische Studie| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
WHO International Clinical Trials Registry Platform - (2023) vom: 12. Juni Zur Gesamtaufnahme - year:2023 |
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| Sprache: |
Englisch |
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| Links: |
Volltext [kostenfrei] |
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| Themen: |
610 |
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| Anmerkungen: |
WHO International Clinical Trials Registry Platform (https://www.who.int/ictrp/en/), First posted: 2023-06-01, Last updated: 2023-06-22 |
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| ICTRP ID: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
CTG009321152 |
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| 245 | 1 | 0 | |a Assessment of breast disease from bi-modal bi-view ultrasound images and text information by deep learning: a bicenter prospective cohort study |b Assessment of breast disease from bi-modal bi-view ultrasound images and text information by deep learning: a bicenter prospective cohort study |
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| 650 | 4 | |a Study Type: Diagnostic test | |
| 650 | 4 | |a Recruitment Status: Completed | |
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