Comparison of machine and deep learning for the classification of cervical cancer based on cervicography images
2021 · Scientific Reports · 134 citations
https://doi.org/10.1038/s41598-021-95748-3
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Young Jae Kim
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Young Jae Kim is an academic researcher from Gachon University. The author has contributed to research in topics: Radiomics and Machine Learning in Medical Imaging & Medical Imaging and Analysis & AI in cancer detection. The author has an h-index of 35, co-authored 306 publications.
ORCID: 0000-0003-0443-0051Papers by this author
worksAutomated pancreas segmentation and volumetry using deep neural network on computed tomography
2022 · Scientific Reports · 49 citations
https://doi.org/10.1038/s41598-022-07848-3
A deep learning algorithm for automated measurement of vertebral body compression from X-ray images
2021 · Scientific Reports · 37 citations
https://doi.org/10.1038/s41598-021-93017-x
Deep learning-based prediction of osseointegration for dental implant using plain radiography
2023 · BMC Oral Health · 34 citations
https://doi.org/10.1186/s12903-023-02921-3
Deep 3D attention CLSTM U-Net based automated liver segmentation and volumetry for the liver transplantation in abdominal CT volumes
2022 · Scientific Reports · 32 citations
https://doi.org/10.1038/s41598-022-09978-0
Development of Machine Learning Model to Predict the 5-Year Risk of Starting Biologic Agents in Patients with Inflammatory Bowel Disease (IBD): K-CDM Network Study
2020 · Journal of Clinical Medicine · 24 citations
https://doi.org/10.3390/jcm9113427
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