OSCR

Multi-task deep learning assists detection and diagnosis of gliomas and brain metastases.

Overview

Authors: Xiao Liu1, Kun Lv1, Peng Du2, Kun Zhou3,4, Qianru Zhao3,4, Sen Jiao3,4, Hongyi Chen5, Danni Zhang1, Hui Fang1, Qiuyue Han1, Yanwei Zeng1, Xin Cao1, Haiqing Li1, Jian Dai3,4, Zhiji Zheng3,4, Hao Wu6, Xin Wang7, Yuxin Li1, Daoying Geng1,3,4,8
  1. Department of Radiology, Huashan Hospital, Qidong-Fudan Innovative Institute of Medical Sciences, Fudan University,Jingan District, China
  2. Department of Radiology, the Second Affiliated Hospital of Xuzhou Medical University,Xuzhou City, China
  3. College of biomedical engineering, Fudan University,Yangpu District, China
  4. Shanghai Engineering Research Center of Intelligent Imaging for Critical Brain Diseases, Yangpu District, China
  5. Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences,Hangzhou, China
  6. Department of Dermatology, Huashan Hospital, Fudan University,Jingan District, China
  7. Department of Neurosurgery, Huashan Hospital, Fudan University,Jingan District, China
  8. Institute of Functional and Molecular Medical Imaging, Jingan District, China
Institutions: Fudan University (China); Affiliated Hospital of Xuzhou Medical College (China); Chinese Academy of Sciences (China)
Journal: NPJ digital medicine, volume 9, issue 1, article 599
Dates: received 29 October 2025; accepted 5 May 2026; published online 16 May 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1038/s41746-026-02759-3 · PMID 42143150 · PMCID PMC13439454 · OpenAlex W7161400279
Open access: gold, a free copy (OpenAlex)
Status: code on request
Categories: other condition (population), clinical / translational (subfield)
Methods: Connectivity, Statistics, Machine learning
Keywords: Cancer, Computational biology and bioinformatics, Oncology
Topic: Brain Tumor Detection and Classification (Neurology, Neuroscience), according to OpenAlex
Funding: Postdoctoral Fellowship Program of China Postdoctoral Science Foundation (GZB20250515); Science and Technology Commission of Shanghai Municipality (22TS1400900, 23S31904100, 22ZR1409500, 24SF1904200, 24SF1904201); Qidong-Fudan Innovative Institute of Medical Sciences (KTB002); National Nature Science Foundation of China (82372048); National Clinical Research Center for Aging and Medicine (Huashan Hospital) (2024KF2003)
Citations: not cited yet (Europe PMC); 38 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Code

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Code availability statement

The paper has a code availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

  • it says that the code is available on request

Read it in the paper: doi.org/10.1038/s41746-026-02759-3.

Tracing map

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Data

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Data availability statement

The paper has a data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

  • it says that the data are available on request

Read it in the paper: doi.org/10.1038/s41746-026-02759-3.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 28 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 19 authors, 3 keywords, 5 funders, 35 references.

Cite

This paper

Liu, X., Lv, K., Du, P., Zhou, K., Zhao, Q., Jiao, S., Chen, H., Zhang, D., Fang, H., Han, Q., Zeng, Y., Cao, X., Li, H., Dai, J., Zheng, Z., Wu, H., Wang, X., Li, Y., & Geng, D. (2026). Multi-task deep learning assists detection and diagnosis of gliomas and brain metastases. NPJ digital medicine, 9(1), 599. https://doi.org/10.1038/s41746-026-02759-3

BibTeX

@article{liu2026multi,
author = {Liu, Xiao and Lv, Kun and Du, Peng and Zhou, Kun and Zhao, Qianru and Jiao, Sen and Chen, Hongyi and Zhang, Danni and Fang, Hui and Han, Qiuyue and Zeng, Yanwei and Cao, Xin and Li, Haiqing and Dai, Jian and Zheng, Zhiji and Wu, Hao and Wang, Xin and Li, Yuxin and Geng, Daoying},
title = {{Multi-task deep learning assists detection and diagnosis of gliomas and brain metastases}},
journal = {NPJ digital medicine},
year = {2026},
month = may,
volume = {9},
number = {1},
pages = {599},
publisher = {Nature Publishing Group},
issn = {2398-6352},
doi = {10.1038/s41746-026-02759-3},
url = {https://doi.org/10.1038/s41746-026-02759-3},
pmid = {42143150},
pmcid = {PMC13439454}
}

RIS

TY - JOUR
AU - Liu, Xiao
AU - Lv, Kun
AU - Du, Peng
AU - Zhou, Kun
AU - Zhao, Qianru
AU - Jiao, Sen
AU - Chen, Hongyi
AU - Zhang, Danni
AU - Fang, Hui
AU - Han, Qiuyue
AU - Zeng, Yanwei
AU - Cao, Xin
AU - Li, Haiqing
AU - Dai, Jian
AU - Zheng, Zhiji
AU - Wu, Hao
AU - Wang, Xin
AU - Li, Yuxin
AU - Geng, Daoying
TI - Multi-task deep learning assists detection and diagnosis of gliomas and brain metastases
T2 - NPJ digital medicine
J2 - NPJ Digit Med
PY - 2026
DA - 2026/05/16
VL - 9
IS - 1
SP - 599
SN - 2398-6352
PB - Nature Publishing Group
DO - 10.1038/s41746-026-02759-3
UR - https://doi.org/10.1038/s41746-026-02759-3
LA - en
ER -

CSL-JSON

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