UltrasondConfienceMap
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orienting to ultrasound image, model ultrasound image quality and decrease detected false positive disease candidate in shadow area
UltrasondConfienceMap
orienting to ultrasound image, model ultrasound image quality and decrease detected false positive disease candidate in shadow area our code refer to the paper of Karamalis, Athanasios, et al., in this paper[^1], author inspired by the random walker, so my implement refer the python code of random walker segmentation in scipy [^1]可以效率的书写文档
2d randolm walks
3d random walks
2d confidence map
3d confidence map
3d condidence map decrease false positive tumor candidate
green label is false positive tumor candidate in the shadow of ultrasound image, red is positive tumor candidate.
[^1]:Karamalis A, Wein W, Klein T, et al. Ultrasound confidence maps using random walks[J]. Medical image analysis, 2012, 16(6): 1101-1112.