A transfer learning approach to identify Plasmodium in microscopic images

被引：0
|
作者：
da Silva Ramos, Jonathan [1 ]
Vieira, Ivo Henrique Provensi [2 ,3 ]
Rocha, Wan Song [3 ,4 ]
Esquerdo, Rosimar Pires [2 ]
Watanabe, Carolina Yukari Veludo [1 ]
Zanchi, Fernando Berton [2 ,3 ,4 ]
机构：
[1] Computer Science Department, Federal University of Rondônia (DACC/UNIR), Rondônia, Porto Velho, Brazil
[2] Laboratório de Bioinformática e Química Medicinal, Fundação Oswaldo Cruz Rondônia, Rondônia, Porto Velho, Brazil
[3] Instituto Nacional de Epidemiologia na Amazônia Ocidental (INCT-EPIAMO), Rondônia, Porto Velho, Brazil
[4] Programa de Pós-Graduação em Biologia Experimental, Universidade Federal de Rondônia (PGBIOEXP/UNIR), Rondônia, Porto Velho, Brazil
来源：
PLoS Computational Biology | 2024年 / 20卷 / 8 August期
关键词：
All Open Access; Gold;
D O I：
10.1371/journal.pcbi.1012327
中图分类号：
学科分类号：
摘要：
28
引用
收藏
相关论文
共 50 条
  • [21] Festra: A Feature Based Microscopic Sandstone Images Classification Method Using Transfer Learning
    Li, Na
    Wang, Danru
    Gu, Qing
    Hao, Huizhen
    Chen, Daoxu
    SOFTWARE ENGINEERING AND METHODOLOGY FOR EMERGING DOMAINS, 2016, 675 : 165 - 178
  • [22] Deep Learning-Based Bias Transfer for Overcoming Laboratory Differences of Microscopic Images
    Thebille, Ann-Katrin
    Dietrich, Esther
    Klaus, Martin
    Gernhold, Lukas
    Lennartz, Maximilian
    Kuppe, Christoph
    Kramann, Rafael
    Huber, Tobias B.
    Sauter, Guido
    Puelles, Victor G.
    Zimmermann, Marina
    Bonn, Stefan
    MEDICAL IMAGE UNDERSTANDING AND ANALYSIS (MIUA 2021), 2021, 12722 : 322 - 336
  • [23] Classification of Indian Herbal Plants based on powder microscopic images using Transfer Learning
    Marwaha, Rohan
    Fataniya, Bhupendra
    2018 FIFTH INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED AND GRID COMPUTING (IEEE PDGC), 2018, : 500 - 505
  • [24] An ensemble deep transfer-learning approach to identify COVID-19 cases from chest X-ray images
    Rafi, Taki Hasan
    2020 IEEE CONFERENCE ON COMPUTATIONAL INTELLIGENCE IN BIOINFORMATICS AND COMPUTATIONAL BIOLOGY (CIBCB), 2020, : 210 - 214
  • [25] Applying Deep Learning Technology to Automatically Identify Metaphase Chromosomes Using Scanning Microscopic Images: An Initial Investigation
    Qiu, Yuchen
    Lu, Xianglan
    Yan, Shiju
    Tan, Maxine
    Cheng, Samuel
    Li, Shibo
    Liu, Hong
    Zheng, Bin
    BIOPHOTONICS AND IMMUNE RESPONSES XI, 2016, 9709
  • [26] Crop type classification with hyperspectral images using deep learning : a transfer learning approach
    Usha Patel
    Mohib Pathan
    Preeti Kathiria
    Vibha Patel
    Modeling Earth Systems and Environment, 2023, 9 : 1977 - 1987
  • [27] Crop type classification with hyperspectral images using deep learning : a transfer learning approach
    Patel, Usha
    Pathan, Mohib
    Kathiria, Preeti
    Patel, Vibha
    MODELING EARTH SYSTEMS AND ENVIRONMENT, 2023, 9 (02) : 1977 - 1987
  • [28] A Deep Learning Approach to Intrusion Detection and Segmentation in Pellet Fuels Using Microscopic Images
    Iwaszenko, Sebastian
    Szymanska, Marta
    Rog, Leokadia
    SENSORS, 2023, 23 (14)
  • [29] Segmentation of gastric cancer from microscopic biopsy images using deep learning approach
    Rasal, Tushar
    Veerakumar, T.
    Subudhi, Badri Narayan
    Esakkirajan, S.
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2023, 86
  • [30] Machine learning approach for automated screening of malaria parasite using light microscopic images
    Das, Dev Kumar
    Ghosh, Madhumala
    Pal, Mallika
    Maiti, Asok K.
    Chakraborty, Chandan
    MICRON, 2013, 45 : 97 - 106
12345