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Ke Zhao

South China University of Technology
Academy of Medical Sciences, United Kingdom

15

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108

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The Crohn’s-like lymphoid reaction density: a new artificial intelligence quantified prognostic immune index in colon cancer

2021 Cancer Immunology, Immunotherapy
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The value of the tumour-stroma ratio for predicting neoadjuvant chemoradiotherapy response in locally advanced rectal cancer: a case control study.

2021 BMC Cancer
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Deep learning quantified mucus-tumor ratio predicting survival of patients with colorectal cancer using whole-slide images

2021 Precision Clinical Medicine
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Prognostic value of a modified Immunoscore in patients with stage I-III resectable colon cancer.

2021 Chinese Journal of Cancer Research
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Combining quantitative and qualitative magnetic resonance imaging features to differentiate anorectal malignant melanoma from low rectal cancer

2021 Precision Clinical Medicine
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Predicting treatment response to neoadjuvant chemoradiotherapy in local advanced rectal cancer by biopsy digital pathology image features.

2020 Clinical and translational medicine
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Multiple Level CT Radiomics Features Preoperatively Predict Lymph Node Metastasis in Esophageal Cancer: A Multicentre Retrospective Study

2020 Frontiers in Oncology
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Evaluation of human epidermal growth factor receptor 2 status of breast cancer using preoperative multidetector computed tomography with deep learning and handcrafted radiomics features.

2020 Chinese Journal of Cancer Research
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Artificial intelligence quantified tumour-stroma ratio is an independent predictor for overall survival in resectable colorectal cancer

2020 EBioMedicine
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Hist-Immune signature: a prognostic factor in colorectal cancer using immunohistochemical slide image analysis.

2020 OncoImmunology
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