no code implementations • 1 Feb 2024 • Quan Huu Cap, Atsushi Fukuda
Generating medical images from human-drawn free-hand sketches holds promise for various important medical imaging applications.
no code implementations • 5 Sep 2023 • Quan Huu Cap, Atsushi Fukuda, Satoshi Kagiwada, Hiroyuki Uga, Nobusuke Iwasaki, Hitoshi Iyatomi
Hard-sample mining (HSM) is a common technique for re-training a model by using the mis-detected boxes as new training samples.
1 code implementation • 4 Apr 2023 • Quan Huu Cap, Atsushi Fukuda, Hitoshi Iyatomi
In this study, we propose a framework for practical unsupervised medical image enhancement that includes (1) a non-reference objective evaluation of structure preservation for medical image enhancement tasks called Laplacian structural similarity index measure (LaSSIM), which is based on SSIM and the Laplacian pyramid, and (2) a novel unsupervised GAN-based method called Laplacian medical image enhancement (LaMEGAN) to support the improvement of both originality and quality from LQ images.
no code implementations • 28 Nov 2020 • Quan Huu Cap, Hitoshi Iyatomi, Atsushi Fukuda
Medical images have been indispensable and useful tools for supporting medical experts in making diagnostic decisions.
no code implementations • 10 Dec 2019 • Debaditya Roy, Tetsuhiro Ishizaka, Krishna Mohan C., Atsushi Fukuda
Existing approaches are designed to investigate accidents in lane-based traffic.