RT @RadiologiaBcn: @lledocabedo 👇👇👇👇👇👇👇👇👇
@lledocabedo 👇👇👇👇👇👇👇👇👇
RT @InsightsImaging: Ya-Ting Jan et al. explain the development of an #AI model with #radiomics and #DeepLearning features extracted from C…
Ya-Ting Jan et al. explain the development of an #AI model with #radiomics and #DeepLearning features extracted from CT images to distinguish benign from malignant ovarian tumors, showing improvement of less-experienced radiolgists. #InsightsIntoImaging 🔗
RT @salvasapedraza: Jan, YT., Tsai, PS., Huang, WH. et al. Machine learning combined with radiomics and deep learning features extracted fr…
RT @salvasapedraza: Jan, YT., Tsai, PS., Huang, WH. et al. Machine learning combined with radiomics and deep learning features extracted fr…
RT @salvasapedraza: Jan, YT., Tsai, PS., Huang, WH. et al. Machine learning combined with radiomics and deep learning features extracted fr…
RT @salvasapedraza: Jan, YT., Tsai, PS., Huang, WH. et al. Machine learning combined with radiomics and deep learning features extracted fr…
Jan, YT., Tsai, PS., Huang, WH. et al. Machine learning combined with radiomics and deep learning features extracted from CT images: a novel AI model to distinguish benign from malignant ovarian tumors. Insights Imaging 14, 68 (2023). https://t.co/o8HY4753