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  1. Article

    Open Access

    Identifying key factors for predicting O6-Methylguanine-DNA methyltransferase status in adult patients with diffuse glioma: a multimodal analysis of demographics, radiomics, and MRI by variable Vision Transformer

    This study aimed to perform multimodal analysis by vision transformer (vViT) in predicting O6-methylguanine-DNA methyl transferase (MGMT) promoter status among adult patients with diffuse glioma using demograp...

    Takuma Usuzaki, Kengo Takahashi, Ryusei Inamori, Yohei Morishita in Neuroradiology (2024)

  2. No Access

    Article

    Efficacy of exponentiation method with a convolutional neural network for classifying lung nodules on CT images by malignancy level

    The aim of this study was to examine the performance of a convolutional neural network (CNN) combined with exponentiating each pixel value in classifying benign and malignant lung nodules on computed tomograph...

    Takuma Usuzaki, Kengo Takahashi, Hidenobu Takagi, Mami Ishikuro in European Radiology (2023)

  3. No Access

    Article

    Deep learning model for predicting the presence of stromal invasion of breast cancer on digital breast tomosynthesis

    To develop a deep learning (DL)-based algorithm to predict the presence of stromal invasion in breast cancer using digital breast tomosynthesis (DBT). Our institutional review board approved this retrospective...

    Daiki Shimokawa, Kengo Takahashi, Ken Oba in Radiological Physics and Technology (2023)

  4. No Access

    Article

    Deep learning model for breast cancer diagnosis based on bilateral asymmetrical detection (BilAD) in digital breast tomosynthesis images

    The purpose of this study was to develop a deep learning model to diagnose breast cancer by embedding a diagnostic algorithm that examines the asymmetry of bilateral breast tissue. This retrospective study was...

    Daiki Shimokawa, Kengo Takahashi, Daiya Kurosawa in Radiological Physics and Technology (2023)