https://34methylenedioxyinhibi....tor.com/any-ferropto
We proposed a sequential and iterative U-Net (SI-Net) deep learning method to auto-segment the risky primary tumor medical target volume (CTVp1) for treatment planning of nasopharyngeal carcinoma (NPC) radiotherapy. Techniques The SI-Net is a variant regarding the U-Net structure. The feedback of SI-Net includes one CT image, the CTVp1 contour on this picture, and also the next CT image. The production is the predicted CTVp1 contour in the next CT image. We designed the SI-Net, us
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