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Andriyan Bayu Suksmono, Andriyan and Riries Rulaningtyas, Riries and Kuwat Triyana, Kuwat and Imas Sukaesih Sitanggang, Imas and Anny Setijo Rahaju, Anny and Etty Hary Kusumastuti, Etty and Ahda Nur Laila Nabila, Ahda and Rizkya Nabila Maharani, Rizkya and Difa Fanani Ismayanto, Difa and Katherine, Katherine and Winarno, Winarno and Alfian Pramudita Putra, Alfian Classification of adeno carcinoma, high squamous intraephithelial lesion, and squamous cell carcinoma in Pap smear images based on extreme learning machine. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 9 (2). pp. 115-120. ISSN 2168-1163

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R Riries, Riries and Winarno, Winarno and C N Asiah, Asiah and A Y Putri and A B Suksmono, Suksmono and I S Sitanggang, Sitanggang and N A Setiawan, Setiawan and Anny Setijo Rahaju, Anny and E H Kusumastuti, Kusumastuti Cervical single cell of squamous intraepithelial lesion classification using shape features and extreme learning machine. In: Cervical single cell of squamous intraepithelial lesion classification using shape features and extreme learning machine. Physical Society of Indonesia (PSI) and hosted by Universitas Mataram, Universitas Hamzanwadi, Universitas Pendidikan Mandalika, Universitas Muhammadiyah Mataram, Universitas Islam Negeri Mataram, Sekolah Tinggi Keguruan dan Ilmu Pendidikan Taman Siswa Bi. ISBN 1742-6588, E-ISSN:1742-6596