Magnetic Resonance Imaging Feature Analysis and Evaluation of Tubal Patency under Convolutional Neural Network in the Diagnosis of Infertility

<div>Comparison of the examination results of fallopian tubes (note: A: bilateral obstruction of fallopian tubes; B: bilateral partial obstruction; C: unilateral obstruction + unilateral partial obstruction; D: unilateral obstruction + unilateral partial obstruction; E: hydrosalpinx).</div>

Contrast Media & Molecular Imaging

fig2

Figure 2

Figure 2: Magnetic Resonance Imaging Feature Analysis and Evaluation of Tubal Patency under Convolutional Neural Network in the Diagnosis of Infertility 

Figure 2 | Magnetic Resonance Imaging Feature Analysis and Evaluation of Tubal Patency under Convolutional Neural Network in the Diagnosis of Infertility 