ZACP: enhancing skin lesion classification ability using zero attention and complete perception.

Zuo H, Weng Z, Fu Z, Ding F, Chai J, Chen L, Gong C, Zheng Z

DOI: 10.1186/s42492-026-00223-3
Published: 2026 Jul 6
Container: Visual computing for industry, biomedicine, and art
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1186/s42492-026-00223-3,
  title = {ZACP: enhancing skin lesion classification ability using zero attention and complete perception.},
  author = {Zuo H and Weng Z and Fu Z and Ding F and Chai J and Chen L and Gong C and Zheng Z},
  year = {2026},
  journal = {Visual computing for industry, biomedicine, and art},
  doi = {10.1186/s42492-026-00223-3},
  url = {https://doi.org/10.1186/s42492-026-00223-3}
}

RIS

TY  - JOUR
TI  - ZACP: enhancing skin lesion classification ability using zero attention and complete perception.
AU  - Zuo H
AU  - Weng Z
AU  - Fu Z
AU  - Ding F
AU  - Chai J
AU  - Chen L
AU  - Gong C
AU  - Zheng Z
PY  - 2026
JO  - Visual computing for industry, biomedicine, and art
DO  - 10.1186/s42492-026-00223-3
UR  - https://doi.org/10.1186/s42492-026-00223-3
ER  -

APA

H, Z., Z, W., Z, F., F, D., J, C., L, C., C, G., & Z, Z. (2026). ZACP: enhancing skin lesion classification ability using zero attention and complete perception.. Visual computing for industry, biomedicine, and art. https://doi.org/10.1186/s42492-026-00223-3

Source records

pubmed · retrieved 2026-09-25T15:21:11.371Z