:Hounsfield

Paolo Zaffino1,2, Ciro Benito Raggio3, Adrian Thummerer2,4

  • 1Department of Experimental and Clinical Medicine, Magna Graecia University, viale Europa, 88100 Catanzaro, Italy.

Journal of imaging
|December 27, 2024
PubMed
概括

一个新的深度学习框架准确地预测了合成CT图像质量,而没有地面真相,确保可靠的放射治疗模拟. 这种方法提供了切片对切片的精度图,有助于在治疗头癌的临床决策.