Skip to content
DraconiticResearch
Search Sources API
203,952 studies31 sourcesUpdated 48 min ago
Peer-reviewedCC BYSensors (Basel, Switzerland)

Representation Alignment with Hybrid Perturbation for Semi-Supervised Medical Image Segmentation

  • Huaikun Zhang1
  • Shiqiang Du1
  • Jing Lian2
  1. 1School of Mathematics and Computer Science, , Lanzhou 730030, China;
  2. 2School of Electronic and Information Engineering, , Lanzhou 730070, China;
Read full textPDFCite

Related

  1. A Masked Representation Alignment-Based Self-Supervised Learning Method for Radar Emitter Recognition
    Yixin Zuo, Wenjuan Ren, Guangzuo Li
    Sensors (Basel, Switzerland)Peer-reviewedCC BYFull textEurope PMC
  2. Dual-domain self-supervised feature alignment via spectral–spatial representation learning for deepfake anomaly detection
    Yi He
    PLOS OnePeer-reviewedCC BY 4.0Full textBioinformatics & computational biologyProbabilityPLOS
  3. Peripheral prototypical contrastive loss for supervised medical image segmentation
    Takuro Shimaya, Ryosaku Shino, Masahiro Saiko
    arXivPreprintarXiv licenceFull textBiological & medical physicsarXiv
  4. From Weakly Supervised Segmentation to Diagnostic Decisions: An Annotation-Economics Review for Medical Imaging
    Xiu Shu, Xinming Zhang, Di Yuan
    MathematicsPeer-reviewedCC BY 4.0General mathematicsCrossref
  5. SADA: semantic-aware perturbation and dual-view alignment for privacy-preserving LLMs
    Bingbing Meng, Xiaoqiong Xu, Bonan Liu +4
    Scientific ReportsPeer-reviewedCC BY 4.0NatureCrossref

Cite

BibTeXRIS
BibTeX
@article{zhang2026representation,
  title = {{Representation Alignment with Hybrid Perturbation for Semi-Supervised Medical Image Segmentation}},
  author = {Huaikun Zhang and Shiqiang Du and Jing Lian},
  journal = {Sensors (Basel, Switzerland)},
  year = {2026},
  month = oct,
  url = {https://europepmc.org/article/PMC/PMC13709883},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Representation Alignment with Hybrid Perturbation for Semi-Supervised Medical Image Segmentation
AU  - Huaikun Zhang
AU  - Shiqiang Du
AU  - Jing Lian
PY  - 2026
DA  - 2026/10/01
JO  - Sensors (Basel, Switzerland)
UR  - https://europepmc.org/article/PMC/PMC13709883
SN  - 1424-8220
ER  -