Deep Learning for Lymphoma Detection on Microscopic Images-Reference-Cited by-同舟云学术

Deep Learning for Lymphoma Detection on Microscopic Images

Published:2022-12-22 Issue: Volume: Page:203-215
ISSN:
Container-title:Proceedings of the 4th International Conference on Life Sciences and Biotechnology (ICOLIB 2021)
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Author:

Ammar Ammar,Kurniawan Irfan Tito,Azizah Resfyanti Nur,Yusuf Hafizh Rahmatdianto,Nugroho Antonius Eko,Mufiddin Ghani Faliq,Anshori Isa,Adiprawita Widyawardana,Usman Hermin Aminah,Husain Okky

Publisher

Atlantis Press International BV

Reference36 articles.

1. M. R. Hongorjo and S. Syed, “Presentation, staging and diagnosis of lymphoma: a clinical persepective,” Journal of Ayub Medical College: JAMC, vol. XX, pp. 100-3, 2008.

2. H. Kaseb and H. M. Babiker, Hodgkin Lymphoma, Treasure Island (FL): StatPearls Publishing, 2020.

3. S. Sapkota and H. Shaikh, Non-Hodgkin Lymphoma, Treasure Island (FL): StatPearls Publishing, 2020.

4. T. G. C. Observatory, “Indonesia,” World Health Organization: International Agency for Research on Cancer, 2018.

5. I. P. D. P. Suryadiarsa, N. M. R. A. Rena and T. G. Dharmayuda, "Tingkat harapan hidup pasien limfoma non-hodgkin berdasarkan skor IPI yang mendapatkan kemoterapi lini pertama di RSUP Sanglah Denpasar tahun 2014," E-Jurnal Medika, vol. VIII, no. 5, 2019.

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