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HiLab-git / SSL4MIS

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
MIT License
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Input of 3D semi-supervised medical image segmentation #50

Closed kimjisoo12 closed 2 years ago

kimjisoo12 commented 2 years ago

Hello, I have seen many semi-supervised segmentation models of 3D medical images recently, and found that almost all the data sets used are 2018LA and the input format is H5 file. I would like to know whether the input is niI format, or whether the current 3D semi-supervised medical image segmentation can only use H5 input。thanks

Luoxd1996 commented 2 years ago

Hi, The input type is numpy array or pytorch tensor, so you can store your data in any data file, and then read them into array or tensor for the network training. Best, Xiangde.