<?xml version='1.0' encoding='UTF-8'?><metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns="http://dublincore.org/documents/dcmi-terms/"><dcterms:title>Tuberculosis</dcterms:title><dcterms:identifier>https://doi.org/10.34820/FK2/BFGIWM</dcterms:identifier><dcterms:creator>Novamizanti, Ledya</dcterms:creator><dcterms:publisher>Telkom University Dataverse</dcterms:publisher><dcterms:issued>2022-09-17</dcterms:issued><dcterms:modified>2022-09-17T16:01:03Z</dcterms:modified><dcterms:description>Data berupa gambar bakteri yang terdapat pada preparat. Pengambilan gambar menggunakan mikroskop. 
Hasil pemeriksaan, terdiri atas tiga kelas, yaitu: negatif, scanty, dan positif.</dcterms:description><dcterms:subject>Medicine, Health and Life Sciences</dcterms:subject><dcterms:subject>tuberculosis, image</dcterms:subject><dcterms:isReferencedBy>A. Muhdina, L. Novamizanti, &amp; G. Budiman, "Klasifikasi Tuberkulosis Dengan Compressive Sensing Dan Support Vector Machine," eProceedings of Engineering, 8(2), 2021.</dcterms:isReferencedBy><dcterms:date>2022-09-17</dcterms:date><dcterms:contributor>Novamizanti, Ledya</dcterms:contributor><dcterms:contributor>Mahfuzha, Haniyati</dcterms:contributor><dcterms:dateSubmitted>2022-09-17</dcterms:dateSubmitted><dcterms:license>CC0</dcterms:license><dcterms:rights>CC0 Waiver</dcterms:rights></metadata>