Yutaka Emoto
Nantan, 6220041, Japan
Last Updated: 09/26/2026
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Found 10 publications
Deep learning-based algorithm improved radiologists' performance in bone metastases detection on CT.
Deep learning-based algorithm improved radiologists' performance in bone metastases detection on CT.
Journal: European radiology
Published: October 01, 2021
Temporal subtraction CT with nonrigid image registration improves detection of bone metastases by radiologists: results of a large-scale observer study.
Journal: Scientific reports
Published: January 29, 2021
Adaptive Voxel Matching for Temporal CT Subtraction.
Journal: Journal of digital imaging
Published: October 14, 2019
CT temporal subtraction improves early detection of bone metastases compared to SPECT.
Journal: European radiology
Published: August 20, 2018
Automatic inference model construction for computer-aided diagnosis of lung nodule: Explanation adequacy, inference accuracy, and experts' knowledge.
Journal: PloS one
Published: May 24, 2018
Temporal Subtraction of Serial CT Images with Large Deformation Diffeomorphic Metric Mapping in the Identification of Bone Metastases.
Journal: Radiology
Published: July 06, 2017
A study of computer-aided diagnosis for pulmonary nodule: comparison between classification accuracies using calculated image features and imaging findings annotated by radiologists.
Journal: International journal of computer assisted radiology and surgery
Published: August 23, 2016
Showing 1-10 of 10
Last Updated: 09/26/2026