Research map: Deep Learning-Based Malaria Parasite Image Classification on Real Microscopy Data

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  1. Deep Residual Learning for Image Recognition · Kaiming He · 2016 · 229835 citations · Cited by this paper
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  17. MP-IDB: The Malaria Parasite Image Database for Image Processing and Analysis · Andrea Loddo · 2019 · 53 citations · Cited by this paper
  18. Prevalence of Mycoplasma genitalium and Co-Infections with Chlamydia trachomatis and Neisseria gonorrhoeae Among Japanese Women: A Cross-Sectional Study · 2026 · Related
  19. DeepFMD: Computational Analysis for Malaria Detection in Blood-Smear Images Using Deep-Learning Features · Aliyu Alhaji Abubakar · 2021 · 43 citations · Cited by this paper
  20. Detection of Peripheral Malarial Parasites in Blood Smears Using Deep Learning Models · Amal Hamed Alharbi · 2022 · 39 citations · Cited by this paper
  21. A systematic review of generative AI approaches for medical image enhancement: Comparing GANs, transformers, and diffusion models · Chaimaa Oulmalme · 2025 · 37 citations · Cited by this paper
  22. Enhancing Malaria Detection Through Deep Learning: A Comparative Study of Convolutional Neural Networks · Yassine Benachour · 2025 · 35 citations · Cited by this paper
  23. Patient-level performance evaluation of a smartphone-based malaria diagnostic application · Hang Yu · 2023 · 33 citations · Cited by this paper
  24. A hybrid ResNet-ViT approach to bridge the global and local features for myocardial infarction detection · Junaid Abdul Wahid · 2024 · 32 citations · Cited by this paper
  25. Mobile Phone Devices and Handheld Microscopes as Diagnostic Platforms for Malaria and Neglected Tropical Diseases (NTDs) in Low-Resource Settings · Alon Vasiman · 2018 · 29 citations · Cited by this paper
  26. Advancing Malaria Identification From Microscopic Blood Smears Using Hybrid Deep Learning Frameworks · Antora Dev · 2024 · 28 citations · Cited by this paper
  27. Testing and treatment for malaria elimination: a systematic review · Gretchen Newby · 2023 · 27 citations · Cited by this paper
  28. Vectors on the Move: How Climate Change Fuels the Spread of Arboviruses in Europe · Giulia Carbone · 2025 · 23 citations · Cited by this paper
  29. Enhancing classification of cells procured from bone marrow aspirate smears using generative adversarial networks and sequential convolutional neural network · Debapriya Hazra · 2022 · 22 citations · Cited by this paper
  30. Computer-Aided Diagnosis Systems for Automatic Malaria Parasite Detection and Classification: A Systematic Review · Flavia Grignaffini · 2024 · 22 citations · Cited by this paper
  31. A deep architecture based on attention mechanisms for effective end-to-end detection of early and mature malaria parasites · Luca Zedda · 2024 · 21 citations · Cited by this paper
  32. Severe Plasmodium falciparum malaria in the intensive care unit: A 6-year experience in Milano, Italy · Spinello Antinori · 2017 · 20 citations · Cited by this paper
  33. Application of Deep Learning in Clinical Settings for Detecting and Classifying Malaria Parasites in Thin Blood Smears · Geng Wang · 2023 · 20 citations · Cited by this paper
  34. Plasmodium falciparum infection reshapes the human microRNA profiles of red blood cells and their extracellular vesicles · Yifan Wu · 2023 · 19 citations · Cited by this paper
  35. Efficient Malaria Parasite Detection From Diverse Images of Thick Blood Smears for Cross-Regional Model Accuracy · Yuming Zhong · 2023 · 17 citations · Cited by this paper
  36. Not all severe malaria cases are severe: Is it time to redefine severity criteria for malaria in non-endemic regions? · Leire Balerdi-Sarasola · 2024 · 13 citations · Cited by this paper
  37. Insights into AI-Driven malaria diagnosis: A systematic review with implications for Plasmodium knowlesi · Jia Ying Tiong · 2025 · 8 citations · Cited by this paper
  38. Trustworthy deep learning for malaria diagnosis using explainable artificial intelligence · Rahila Parveen · 2025 · 6 citations · Cited by this paper
  39. Automating Malaria Diagnosis with XAI: Using Deep-Learning Technologies for More Accurate, Efficient, and Transparent Results · Krishan Mridha · 2023 · 4 citations · Cited by this paper

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