Skip to content
DraconiticResearch
Search Sources API
201,818 studies31 sourcesUpdated 13 min ago
Peer-reviewedCC BY-NC-ND 4.0Scientific Reports

Machine learning model for predicting regional lymph node metastasis in acral melanoma

Related

  1. Development and internal validation of machine learning models for predicting lymph node metastasis in cutaneous head and neck melanoma
    Bingyu Cheng, Jianqun Yu, Qiang Ji
    Translational cancer researchPeer-reviewedCC BY-NC-NDFull textGeneral medicineEurope PMC
  2. Machine learning based regulatory T cells related gene signature for predicting the clinical outcome and immunotherapy benefits in skin cutaneous melanoma
    Yuzhi Zheng, Xinnuo Chen, Zijian Wu +2
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textOncologyCrossref
  3. Definitive Hypofractionated Radiotherapy in Elderly Patients With Non-melanoma Skin Cancer: Predicting Complete Response Using a Machine Learning-based Approach
    FRANCESCA DE FELICE, LAVINIA SPINELLI, PAOLA CRITELLI +6
    In VivoPeer-reviewedCC BY-NC-ND 4.0Full textEpidemiology & public healthPMC
  4. Absence of Viable Tumor Cells in Macroscopically Pigmented Regional Lymph Nodes after Immune Checkpoint Inhibitor Therapy in Duodenal Metastasis of Cutaneous Melanoma: A Case Report.
    Ryota Unno, Yoshihiro Shirai, Yoshimasa Nobeyama +8
    Surgical case reportsPeer-reviewedCC BYFull textOncologyEurope PMCPMC
  5. Predicting lymph node metastasis in non-small cell lung cancer using clinical and PET/CT-derived morphological features: An interpretable machine-learning study
    Yunchao Xu, Jiajun Hao, Yujiao Dou +1
    PLOS OnePeer-reviewedCC BY 4.0Full textMedical imaging & radiologyOncologyPLOS
BibTeX
@article{zhuang2026machine,
  title = {{Machine learning model for predicting regional lymph node metastasis in acral melanoma}},
  author = {Yong Zhuang and Daojia Liu and Xiaohong Deng and Jing Lin and Xianyi Wu},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-76972-1},
  url = {https://www.nature.com/articles/s41598-026-76972-1},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - Machine learning model for predicting regional lymph node metastasis in acral melanoma
AU  - Yong Zhuang
AU  - Daojia Liu
AU  - Xiaohong Deng
AU  - Jing Lin
AU  - Xianyi Wu
PY  - 2026
DA  - 2026/10/26
JO  - Scientific Reports
DO  - 10.1038/s41598-026-76972-1
UR  - https://www.nature.com/articles/s41598-026-76972-1
SN  - 2045-2322
ER  -