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Fig. 2 | Bioelectronic Medicine

Fig. 2

From: A radiographic, deep transfer learning framework, adapted to estimate lung opacities from chest x-rays

Fig. 2

Schematic of exclusion criteria and transfer learning framework. (A) Data exclusion criteria: multiple stages of image acquisition, DICOM to PNG conversion, and application of other exclusion criteria during the data pre-processing stage prior to final data creation; and (B) transfer learning framework used to leverage weights from pre-trained models along with our dataset of CXRs with scored opacities. The two different schemes and stages explored using this framework are portrayed

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