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All-in-one platform for AI R&D in medical imaging, encompassing data collection, selection, annotation, and pre-processing
March 12, 2024, 4:47 a.m. | Changhee Han, Kyohei Shibano, Wataru Ozaki, Keishiro Osaki, Takafumi Haraguchi, Daisuke Hirahara, Shumon Kimura, Yasuyuki Kobayashi, Gento Mogi
cs.CV updates on arXiv.org arxiv.org
Abstract: Deep Learning is advancing medical imaging Research and Development (R&D), leading to the frequent clinical use of Artificial Intelligence/Machine Learning (AI/ML)-based medical devices. However, to advance AI R&D, two challenges arise: 1) significant data imbalance, with most data from Europe/America and under 10% from Asia, despite its 60% global population share; and 2) hefty time and investment needed to curate proprietary datasets for commercial use. In response, we established the first commercial medical imaging platform, …
annotation arxiv collection cs.ai cs.cv data data collection imaging medical medical imaging platform pre-processing processing r&d type
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