机译:深度学习高精度分割模型的开发
Department of Materials Design Innovation Engineering Graduate School of Engineering Nagoya University Furo-cho Chikusa-ku Nagoya Aichi 464-8603 Japan;
Department of Materials Design Innovation Engineering Graduate School of Engineering Nagoya University Furo-cho Chikusa-ku Nagoya Aichi 464-8603 Japan;
Department of Materials Design Innovation Engineering Graduate School of Engineering Nagoya University Furo-cho Chikusa-ku Nagoya Aichi 464-8603 Japan;
Department of Materials Design Innovation Engineering Graduate School of Engineering Nagoya University Furo-cho Chikusa-ku Nagoya Aichi 464-8603 Japan;
segmentation; fully convolutional network; U-net; SegNet;
机译:深度学习高精度分割模型的开发
机译:深度学习方法用于碳素钢显微组织图像的分割
机译:利用深层学习方法建立与沉淀分割的微观结构相关硬度模型的研究
机译:通过合并深层学习模型来精确增强肖像分割
机译:深入学习模型的应用医学图像/视频分割
机译:用深度学习方法建立含沉淀物的显微组织相关硬度模型的研究
机译:基于深度学习模型的细分和关键点多检测方法的精确度,用于髋关节(DDH)筛选的超声波发育不良