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some loss functions of image segmentation

Python 100.00%
loss-functions tensroflow 2dversion 3dversion dice-loss image-segmentation surface

image-segmentation-loss-functions's Introduction

ImageSegment Loss Function

There are some loss functions of 3D ImageSegment and 2D ImageSegment

How to Use

i have reimplemented the image segmentation loss functions with tensorflow1.8.0.

there are binary_crossentropy,dice_loss,tversky_loss,focal_tversky,generalised_dice_loss,surface_loss,focal_loss_sigmod all has 2d and 3d version.

including categorical loss functions of crossentropy,dice_loss,focal_loss etc.

MS-SSIM loss and SSIM loss for calculating image similarity

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image-segmentation-loss-functions's Issues

focal loss problem

focal_loss_sigmodv1 and focal_loss_sigmodv2 which is for 2D segmentation, could i use focal loss plus dice loss like dice_loss+a*focla_loss.
and do you know What value is generally set for a when i use 2D segmentation,thx!

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