Hidenori Sakanashi 研究室

AI 要約（直近 5 年の研究成果）

※ AI（Claude）が、公開されている論文要旨から研究の問い・手法・主要な発見を事実情報として抽出・再構成して自動生成しています。誤りを含む可能性があるため、正確性は研究室公式情報でご確認ください。

研究成果（12 件）

• [2023] PD13-03 A CYSTOSCOPY ARTIFICIAL INTELLIGENCE SYSTEM THAT CAN BE USED WITH CYSTOSCOPES PRODUCED BY DIFFERENT MANUFACTURERS
  DOI: https://doi.org/10.1097/ju.0000000000003260.03
• [2023] Can cystoscopy artificial intelligence overcome differences between cystoscope products?
  DOI: https://doi.org/10.1016/s0302-2838(23)00639-5
• [2023] Standardized Classification of Lung Adenocarcinoma Subtypes and Improvement of Grading Assessment Through Deep Learning
  DOI: https://doi.org/10.1016/j.ajpath.2023.07.002
• [2023] Deep Learning Models for Cystoscopic Recognition of Hunner Lesion in Interstitial Cystitis
  DOI: https://doi.org/10.1016/j.euros.2022.12.012
• [2022] CTG-Net: Cross-task guided network for breast ultrasound diagnosis
  DOI: https://doi.org/10.1371/journal.pone.0271106
• [2022] Integration of human inspection and artificial intelligence‐based morphological typing of patient‐derived organoids reveals interpatient heterogeneity of colorectal cancer
  DOI: https://doi.org/10.1111/cas.15396
• [2022] PD26-02 REAL-TIME BLADDER TUMOR DETECTION AT CLINICS IN FLEXIBLE CYSTOSCOPY WITH WHITE LIGHT AND NARROW BAND IMAGING USING DEEP LEARNING
  DOI: https://doi.org/10.1097/ju.0000000000002574.02
• [2022] MIXTURE of human expertise and deep learning—developing an explainable model for predicting pathological diagnosis and survival in patients with interstitial lung disease
  DOI: https://doi.org/10.1038/s41379-022-01025-7
• [2022] Diagnosis and Localization of Prostate Cancer via Automated Multiparametric MRI Equipped with Artificial Intelligence
  DOI: https://doi.org/10.3390/uro2010004
• [2022] DEVELOPING AN EXPLAINABLE AI MODEL FOR DIAGNOSIS AND PROGNOSIS IN INTERSTITIAL LUNG DISEASE
  DOI: https://doi.org/10.1016/j.jpi.2022.100070

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所属学会・役職（0 件）

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