Skip to content
DraconiticResearch
Search Sources API
203,948 studies31 sourcesUpdated 42 min ago
Peer-reviewedCC BYSensors (Basel, Switzerland)

FCVGAN: A Novel Generative Framework Integrating Fuzzy C-Means Clustering with Conditional VAE-GAN for Polyp Segmentation

Related

  1. Dense121GAN: transfer learning-enhanced conditional generative adversarial network with DenseNet121 for reliable and efficient segmentation in medical and industrial imaging.
    Muhammed Davud
    PeerJ. Computer sciencePeer-reviewedCC BYFull textEurope PMC
  2. MambaGLA-NPC: a 3D framework integrating CNN and state space models for robust multi-center nasopharyngeal carcinoma segmentation
    Wei Jin, Xiaobo Chen, Weifeng Jin +2
    Frontiers in genome editingPeer-reviewedCC BYFull textMolecular biology & gene regulationEurope PMC
  3. Multi-tissue segmentation of knee MRI based on U-Net and conditional generative adversarial networks
    Songjia Li, Weiwei Ma, Jiacheng Xu +3
    Frontiers in Molecular BiosciencesPeer-reviewedCC BY 4.0Molecular biology & gene regulationFrontiers
  4. Wear-Driven Generative Modeling: A Conditional Framework for Three-Dimensional Shape Synthesis Through Progressive Material Removal
    Jincheng Zhang
    ZenodoPreprintCC BY 4.0Full textZenodo
  5. Automated Segmentation of Mass Lesions in Mammography: Mask R-CNN Versus Classical Methods, Fuzzy Clustering and MedSAM
    Marta Vicentini, Martina Oria, Eva Raina +2
    Diagnostics (Basel, Switzerland)Peer-reviewedCC BYFull textGeneral medicineEurope PMC
BibTeX
@article{anon2026fcvgan,
  title = {{FCVGAN: A Novel Generative Framework Integrating Fuzzy C-Means Clustering with Conditional VAE-GAN for Polyp Segmentation}},
  journal = {Sensors (Basel, Switzerland)},
  year = {2026},
  month = sep,
  url = {https://europepmc.org/article/PMC/PMC13667749},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - FCVGAN: A Novel Generative Framework Integrating Fuzzy C-Means Clustering with Conditional VAE-GAN for Polyp Segmentation
PY  - 2026
DA  - 2026/09/25
JO  - Sensors (Basel, Switzerland)
UR  - https://europepmc.org/article/PMC/PMC13667749
SN  - 1424-8220
ER  -