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Computed tomography-based 3D convolutional neural network deep learning model for predicting micropapillary or solid growth pattern of invasive lung adenocarcinoma.

Jiwen HuoXuhong MinTianyou LuoFajin LvYibo FengQianrui FanDawei WangDongchun MaQi Li
Published in: La Radiologia medica (2024)
The CT-based DL model performed well as a noninvasive screening tool capable of reliably detecting and distinguishing the subtypes of ILADC, even in small-sized tumors.
Keyphrases
  • convolutional neural network
  • deep learning
  • computed tomography
  • positron emission tomography
  • dual energy
  • image quality
  • contrast enhanced
  • magnetic resonance imaging
  • artificial intelligence
  • machine learning