Mitsunori Higuchi, Takeshi Nagata, Kohei Iwabuchi, Akira Sano, Hidemasa Maekawa, Takayuki Idaka, Manabu Yamasaki, Chihiro Seko, Atsushi Sato, Junzo Suzuki, Yoshiyuki Anzai, Takashi Yabuki, Takuro Saito, Hiroyuki Suzuki
BACKGROUND: In this study, we aimed to develop a novel artificial intelligence (AI) algorithm to support pulmonary nodule detection, which will enable physicians to efficiently interpret chest radiographs for lung cancer diagnosis. METHODS: We analyzed chest X-ray images obtained from a health examination center in Fukushima and the National Institutes of Health (NIH) Chest X-ray 14 dataset. We categorized these data into two types: type A included both Fukushima and NIH datasets, and type B included only the Fukushima dataset...
October 17, 2023: Fukushima Journal of Medical Science