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Asymmetric Loss Functions and Deep Densely-Connected Networks for Highly-Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection.

Seyed Raein HashemiSeyed Sadegh Mohseni SalehiDeniz ErdogmusSanjay P. PrabhuSimon K. WarfieldAli Gholipour
Published in: IEEE Access (2019)
Keyphrases
  • loss function
  • multiple sclerosis
  • lesion segmentation
  • logistic regression
  • support vector
  • pairwise
  • computer vision
  • image segmentation
  • high resolution
  • medical images
  • clinical trials