Protocol for an interpretable self-attention artificial neural network framework to predict cancer risk in oral potentially malignant disorders

Authors

Institutions

Publication Details

Journal
STAR Protocols
Published
2026-04-22
DOI
https://doi.org/10.1016/j.xpro.2026.104490
Primary Topic
Oral Health Pathology and Treatment
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Protocol for an interpretable self-attention artificial neural network framework to predict cancer risk in oral potentially malignant disorders

Liuyang Zhao, Siting Luo, Liwu Zheng, Yafang Zhou et al.
STAR Protocols
Oral Health Pathology and Treatment
article

Protocol for an interpretable self-attention artificial neural network framework to predict cancer risk in oral potentially malignant disorders

Liuyang Zhao, Siting Luo, Liwu Zheng, Yafang Zhou, Xuewen Zou, Mengjing Zhang, Dian Zhang, Zihan Lin
article en

Abstract

No abstract available for this paper.
STAR ProtocolsVol. 7(2)
Lingnan University (HK), Shenzhen University (CN), University of California, Davis (US), University of Hong Kong (HK)
Natural Science Foundation of Shenzhen City, Shenzhen University, Guangzhou University of Chinese Medicine, Guangzhou University
Openalex Percentile: Top 15%
Oral Health Pathology and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.