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Magnetic resonance image segmentation based on multi-scale convolutional neural network
2020
IEEE Access
The incidence of nervous system and soft tissue is getting higher, and nuclear magnetic resonance is the preferred method of examination and is widely used. The segmentation of brain magnetic resonance (MR) images is the key to the subsequent operations such as three-dimensional reconstruction, quantitative analysis of normal tissues and diseased tissues. The accuracy of image segmentation is critical in the doctor's assessment with the location, shape, and size of the lesion tissue, as well as
doi:10.1109/access.2020.2964111
fatcat:vr5s4k5fonbefl5vfyh76elh5a