Synergistic-Deep-Learning-for-Monkeypox-Diagnosis/CITATION.cff at main · Sudharsanselvaraj/Synergistic-Deep-Learning-for-Monkeypox-Diagnosis · GitHub

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cff-version: 1.2.0
message: "If you use this software, please cite it as below."
title: "Tri-Net v2: a reproducible deep-learning framework for Mpox skin-lesion diagnosis"
version: 0.9.0
date-released: 2026-07-10
license: MIT
repository-code: "https://github.com/Sudharsanselvaraj/Synergistic-Deep-Learning-for-Monkeypox-Diagnosis"
authors:
  - family-names: "Sudharsan"
    given-names: "S."
keywords:
  - deep-learning
  - medical-imaging
  - monkeypox
  - dermatology
  - ensemble-learning
  - feature-fusion
abstract: >-
  Tri-Net v2 is a leakage-free, reproducible benchmark and library for Mpox skin-lesion
  diagnosis. It combines modern CNN backbones (ConvNeXt, EfficientNetV2, DenseNet,
  InceptionResNetV2) with learned feature fusion, and reports two clearly separated tasks:
  14-class fine-grained diagnosis and binary Mpox screening, with an honest evaluation
  suite (cross-validation, McNemar, Cohen's Kappa, ensemble diversity, Grad-CAM).
preferred-citation:
  type: article
  title: "Tri-Net: unified deep learning for skin lesion and symptom-based monkeypox detection"
  journal: "Scientific Reports"
  publisher:
    name: "Springer Nature"
  issn: "2045-2322"
  year: 2026
  month: 7
  date-published: 2026-07-13
  doi: "10.1038/s41598-026-61490-x"
  url: "https://doi.org/10.1038/s41598-026-61490-x"
  authors:
    - family-names: "Sudharsan"
      given-names: "S."
    - family-names: "Selvam"
      given-names: "Prabu"
    - family-names: "Veeramani"
      given-names: "Nirmala"
    - family-names: "Kiran Kumar"
      given-names: "B."
    - family-names: "Ivković"
      given-names: "Nikola"
    - family-names: "Cengiz"
      given-names: "Korhan"