Fig. 7
From: Efficient medical image segmentation using RepSegNet lightweight reparameterized neural network
RepSegNet performance on ISIC 2018 dataset. Dermatological image segmentation results: (a, d) Original dermoscopy images of skin lesions; (b, e) Ground truth segmentation masks; (c, f) Prediction masks generated by RepSegNet. The model effectively captures both regular and irregular lesion boundaries, accurately segmenting lesions with varying colors, textures, and shapes.
