Takeshi Hara

TL;DR: The authors' present results show that their scheme can be regarded as a technique for CAD systems to detect nodules in helical CT pulmonary images.

TL;DR: ANODE09 is introduced, a database of 55 scans from a lung cancer screening program and a web-based framework for objective evaluation of nodule detection algorithms, and it is demonstrated that combining the output of algorithms leads to marked performance improvements.

TL;DR: The liver function correlating with ICG-PDR can be estimated quantitatively from the signal intensities and the volumes of the liver and spleen on gadoxetate disodium-enhanced MR images, which may improve the estimation of segmental liver function.

TL;DR: A single network trained by pixel‐to‐label deep learning to address the challenging issue of anatomical structure segmentation in 3D CT cases is proposed to achieve availability and reliability with better efficiency, generality, and flexibility than conventional segmentation methods, which must be guided by human expertise.

TL;DR: A computerized detection scheme for the detection of microaneurysms on retinal fundus images, obtained from the Retinopathy Online Challenge database, with good results for the training cases because the "gold standard" for the test cases is not known.