NEURAL NETWORK-BASED RADIATION TREATMENT PLANNING

Abstract: a neural network is trained using a training corpus having a plurality of information features, each of the information features including both a reference radiation treatment dose and at least one corresponding post-treatment patient datum. by one approach, the at least one corresponding post-treatment patient datum comprises patient imagery such as, but not limited to, one or more computed tomography images. that trained neural network facilitates radiation treatment planning by generating resultant treatment efficacy probability information and resultant treatment complications probability information.

Inventor(s): Riqiang Gao, Bin Lou, Ali Kamen

CPC Classification: A61N5/1031 (X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy ( takes precedence))

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