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Part 1: Document Description
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Citation |
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Title: |
Tuberculosis |
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Identification Number: |
doi:10.34820/FK2/BFGIWM |
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Distributor: |
Telkom University Dataverse |
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Date of Distribution: |
2022-09-17 |
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Version: |
3 |
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Bibliographic Citation: |
Novamizanti, Ledya, 2022, "Tuberculosis", https://doi.org/10.34820/FK2/BFGIWM, Telkom University Dataverse, V3 |
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Citation |
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Title: |
Tuberculosis |
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Identification Number: |
doi:10.34820/FK2/BFGIWM |
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Authoring Entity: |
Novamizanti, Ledya (Fakultas Teknik Elektro - Pengolahan Sinyal Informasi) |
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Other identifications and acknowledgements: |
Mahfuzha, Haniyati |
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Date of Production: |
2022-09-17 |
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Distributor: |
Telkom University Dataverse |
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Access Authority: |
Novamizanti, Ledya |
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Access Authority: |
Mahfuzha, Haniyati |
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Access Authority: |
Rahmania, Rissa |
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Depositor: |
Novamizanti, Ledya |
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Date of Deposit: |
2022-09-17 |
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Study Scope |
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Keywords: |
Medicine, Health and Life Sciences, tuberculosis, image |
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Topic Classification: |
computer science |
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Abstract: |
Data berupa gambar bakteri yang terdapat pada preparat. Pengambilan gambar menggunakan mikroskop. Hasil pemeriksaan, terdiri atas tiga kelas, yaitu: negatif, scanty, dan positif. |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
CC0 Waiver |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Bibliographic Citation: |
A. Muhdina, L. Novamizanti, & G. Budiman, "Klasifikasi Tuberkulosis Dengan Compressive Sensing Dan Support Vector Machine," eProceedings of Engineering, 8(2), 2021. |
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Negatif 43.jpg |
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Kelas Negatif |
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image/jpeg |
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Kelas Negatif |
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