RT @RobotRrid: The authors of "SegAN: Adversarial Network with Multi-scale L1 Los…" (https://t.co/n8kK9xFpzv) included RRIDs in their paper…
The authors of "SegAN: Adversarial Network with Multi-scale L1 Los…" (https://t.co/n8kK9xFpzv) included RRIDs in their paper! RRIDs like this improve reproducibility in scientific research. #RRID #OpenScience
#precisionmedicine #braintumours SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation. - https://t.co/fAlr8jo2nP
SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation. https://t.co/68I79URptZ
RT @Miles_Brundage: "SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation," Xue et al.: https://t.co/rMwJNxU…
RT @arxiv_cs_CV: SegAN: Adversarial Network with Multi-scale $L_1$ Loss for Medical Image Segmentation. https://t.co/kPEIRbyFOd
"SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation," Xue et al.: https://t.co/rMwJNxUcWq
RT @nmfeeds: [O] https://t.co/15fUzfYqot SegAN: Adversarial Network with Multi-scale $L_1$ Loss for Medical Image Segmentation. Inspire...
"SegAN: Adversarial Network with Multi-scale $L_1$ Loss for Medical Image Segmentation", Yuan Xue, Tao Xu, Han Zhan… https://t.co/tTfpgW3DWv
SegAN: Adversarial Network with Multi-scale $L_1$ Loss for Medical Image Segmentation. https://t.co/dUstyqyJZb
RT @arxiv_cs_CV: SegAN: Adversarial Network with Multi-scale $L_1$ Loss for Medical Image Segmentation. https://t.co/qUFo2TQP1w