Segmenting Dermoscopic Images
This work addresses skin lesion segmentation for melanoma detection, but it appears incremental as it builds on existing datasets and methods without claiming major breakthroughs.
The authors tackled the problem of automatically segmenting skin lesions in dermoscopic images using the SDI algorithm, which achieved experimental results on the ISIC 2017 dataset, though specific numerical gains were not detailed.
We propose an automatic algorithm, named SDI, for the segmentation of skin lesions in dermoscopic images, articulated into three main steps: selection of the image ROI, selection of the segmentation band, and segmentation. We present extensive experimental results achieved by the SDI algorithm on the lesion segmentation dataset made available for the ISIC 2017 challenge on Skin Lesion Analysis Towards Melanoma Detection, highlighting its advantages and disadvantages.