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Fig. 6 | BMC Medical Imaging

Fig. 6

From: The efficacy of deep learning models in the diagnosis of endometrial cancer using MRI: a comparison with radiologists

Fig. 6

Three cases of false negatives were observed in the combined image set of axial T2WI + ADC + CE-T1WI: a A 56-year-old woman with grade 1 endometrioid carcinoma, in which the CNN was able to detect the cancer, but the three readers were not (the CNN confidence; cancer = 100%); b A 30-year-old woman with grade 1 endometrioid carcinoma, in which the three readers could diagnose the presence of cancer, but the CNN could not (the CNN confidence; cancer = 0.5%). The image shows a tumor displaying the typical appearance of endometrial cancer and filling the right side of the uterine cavity (arrow); c A 45-year-old woman with grade 1 endometrioid carcinoma, in which neither the CNN nor the three readers could diagnose the presence of cancer (the CNN confidence; cancer = 0.5%). The image shows a massive tumor filling the uterine cavity (arrow) and a hemorrhage at the center of the lesion. Non-uniform signal intensities of the tumor mass may have made the diagnosis difficult for radiologists

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