Segmentation of White Blood Cells in M1, M2, and M3 Acute Myeloid Leukemia (AML) Images Using Deep Convolutional Neural Network-Reference-Cited by-同舟云学术

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Segmentation of White Blood Cells in M1, M2, and M3 Acute Myeloid Leukemia (AML) Images Using Deep Convolutional Neural Network

Published:2023-11-10 Issue: Volume: Page:58-63
ISSN:
Container-title:2023 6th International Conference on Information and Communications Technology (ICOIACT)
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Author:

Saputro Nur Habib Rizki¹,Suryani Esti¹,Wiharto ¹,Yusida Niniek²,Prakisya Nurcahya Pradana Taufik³

Affiliation:

1. Universitas Sebelas Maret,Department of Informatics,Surakarta,Indonesia

2. Rumah Sakit Umum Daerah Kabupaten Karanganyar Persatuan Dokter Spesialis Patologi Klinik Indonesia,Karanganyar,Indonesia

3. Universitas Sebelas Maret,Department of Informatics and Computer Technology Education,Surakarta,Indonesia

Funder

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10455094/10454143/10455947.pdf?arnumber=10455947

Reference16 articles.

1. Acute Myeloid Leukemia;Clarke;Leukemia & Lymphoma Society,2011

2. Acute Myeloid Leukemia (AML) Detection Using AlexNet Model

3. Detection and Classification of Immature Leukocytes for Diagnosis of Acute Myeloid Leukemia Using Random Forest Algorithm

4. Automated Detection of Acute Lymphoblastic Leukemia From Microscopic Images Based on Human Visual Perception

5. Review of Image Segmentation Technique;Anjna;Int. J. Adv. Res. Comput. Sci.,2017

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