Transformer-assisted broad learning for hybrid intelligence-based skin cancer segmentation
Y
Yisa Cai
L
Lizheng Cai
A
Ao Song
C
Chao Yang
W
Wanli Yang
(Advanced Light Source)
R
Ruihua Yu
T
Tianjing Wang
F
Feng Jiang
(State Key Laboratory of Integrated Optoelectronics, JLU Region, College of Electronic Science and Engineering, Jilin University, 2699 Qianjin Street, Changchun 130012, P. R. China)
Article Details
Journal
Scientific Reports
Volume / Issue
Vol. 15, Issue 1
Published
October 10, 2025
ISSN
2045-2322
Publisher
Nature Portfolio
Authors (8)
Y
Yisa Cai
L
Lizheng Cai
A
Ao Song
C
Chao Yang
W
Wanli Yang
Advanced Light Source
R
Ruihua Yu
T
Tianjing Wang
F
Feng Jiang
State Key Laboratory of Integrated Optoelectronics, JLU Region, College of Electronic Science and Engineering, Jilin University, 2699 Qianjin Street, Changchun 130012, P. R. China
Related Articles from this Journal
AI models of unstable flow exhibit hallucination
Ramdhan Wibawa, Birendra Jha
Aug 2026
10.1038/s41598-026-64023-8
The MCAA-YOLO + XPBI integrated model provides a hybrid intelligent measurement method for predicting the body weight of Hu sheep
Hang Zhang, Yuang Cheng et al.
Aug 2026
10.1038/s41598-026-64075-w
Application of iron nano-biofertilizers as a sustainable approach to enhance growth and micronutrient uptake in soybean
Ava Mohrazi, Reza Ghasemi-Fasaei
Aug 2026
10.1038/s41598-026-66011-4
Adolescents’ status-dependent public and private conformity to prosocial and antisocial decisions in a public goods game
Niloofar Saeedi, Khatereh Borhani et al.
Aug 2026
10.1038/s41598-026-64831-y
An explainable hierarchical capsule network framework for supporting expert sensory evaluation of herbal medicines with natural language generation
Hyein Lee, Dae-Hyun Jung
Aug 2026
10.1038/s41598-026-64156-w