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Fig. 6 | BMC Medical Imaging

Fig. 6

From: Ultrasound-based deep learning radiomics model for differentiating benign, borderline, and malignant ovarian tumours: a multi-class classification exploratory study

Fig. 6

The Resnet50 model with Grad-CAM was used on ovarian tumour patients. (6a–c) A solid hypoechoic mass in one patient’s pelvis, 100 mm in diameter. (6a) US image; (6b) Grad-CAM; the red area is the basis of decision-making for Resnet50; (6c) Histopathological results: theca cell tumour (40x). (6d–f) A cystic-solid mixed mass in a patient’s pelvis, 112 mm in diameter. (6d) US image; (6e) Grad-CAM; the red area is the basis of decision-making for Resnet50;(6f) Histopathological results: borderline ovarian tumour (40x)

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BMC Medical Imaging

ISSN: 1471-2342

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