RT @SIIM_Tweets: Congratulations to Mohammad Hesam Hesamian, Wenjing Jia, Xiangjian He, & Paul Kennedy on winning the JDI AWARD for the Mos…
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RT @SIIM_Tweets: Congratulations to Mohammad Hesam Hesamian, Wenjing Jia, Xiangjian He, & Paul Kennedy on winning the JDI AWARD for the Mos…
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Congratulations to Mohammad Hesam Hesamian, Wenjing Jia, Xiangjian He, & Paul Kennedy on winning the JDI AWARD for the Most Downloaded Paper! #theJDI #SIIM20 @ClinMedJournals https://t.co/WdSOb6YwtJ https://t.co/3EqSfvgdVu
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Great paper out of Sydney on "Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges" (Hesamian 2019). Sections on data augmentation, transfer learning, class imbalance, and patch-wise training are particularly insightful. ht