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  • Radiomics Models
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  • 2024-10-31T06:23:00Z
    MITK

    HiCur-NPC: Hierarchical Feature Fusion Curriculum Learning for Multi-Modal Foundation Model in Nasopharyngeal Carcinoma

    Keywords:
    A subset of test datasets; diagnosis; segmentation; and prognosis tasks
    Radiomics Permalink 1182
  • 2020-11-24T01:23:15Z
    MITK

    Multi-task deep learning-based radiomic nomogram for prognosis and treatment decision in nasopharyngeal carcinoma patients: a multicenter study

    Keywords:
    Multi-task deep learning; Radiomic nomogram; Survival analysis; Treatment decision; Nasopharyngeal carcinoma.
    Radiomics Permalink 5831
  • 2020-08-26T01:59:56Z
    MITK

    A Deep Learning Prognosis Model Help Alert to COVID-19 Patients at High-Risk of Death

    Keywords:
    Prognosis; Covid-19; High-risk; Deeping Learning
    Radiomics Permalink 5179
  • 2020-02-29T12:32:07Z
    MITK

    Deeping Learning Can Aid in Identifying the Coronavirus Disease 2019 (COVID-19) from CT images: A Multi-center Study

    Keywords:
    COVID-19; Deeping Learning
    Radiomics Permalink 7706
  • 2019-01-18T20:19:31Z
    MITK

    Deep learning radiomic nomogram can predict the number of lymph mode metastasis in patients with advanced gastric cancer

    Keywords:
    DLRN; cancer; CT; nomogram; AGC; gastric; radiomic; advanced
    Radiomics Permalink 7324
  • 2018-05-18T13:26:35Z
    MITK

    Individualized nomogram to identify occult peritoneal metastasis in patients with advanced gastric cancer

    Keywords:
    Radiomics; occult peritoneal metastasis; advanced gastric cancer; pre-operation diagnosis
    Radiomics Permalink 9982
  • 2023-08-06T08:18:00Z
    MITK

    Some related guidelines

    TS Permalink 2226
  • 2022-07-13T09:17:00Z
    MITK

    A radiogenomic clinical decision support system to inform individualized treatment in advanced nasopharyngeal carcinoma

    Keywords:
    CCRT; clinical; NPC; system; nasopharyngeal; carcinoma; ICT; radiogenomic
    Radiomics Permalink 4273
  • 2021-11-22T02:33:33Z
    MITK

    Dual-input transformer: an end-to-end model for preoperative assessment of pathological complete response to neoadjuvant chemotherapy in breast cancer ultrasonography

    Keywords:
    time; model; our; US; NAC; multi; images; treatment
    Radiomics Permalink 4667
  • 2021-10-06T03:23:24Z
    MITK

    Deep-learning on biopsy whole-slide images for response prediction of neoadjuvant chemotherapy in breast cancer: a multicentre study

    Keywords:
    Breast cancer; Neoadjuvant chemotherapy; Pathological complete response; Whole-slide image; Deep learning
    Radiomics Permalink 4015
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