Wei L, Ding K, Hu H (2020) Automatic skin cancer detection in dermoscopy images based on ensemble lightweight deep learning network. IEEE Sens J 20(13):7310–7317Īshraf R et al (2020) Region-of-interest based transfer learning assisted framework for skin cancer detection. IEEE Access 8:150377–150396Īrab H, Chioukh L, Ardakani MD, Dufour S, Tatu SO (2020) Early-stage detection of melanoma skin cancer using contactless millimeter-wave sensors. IEEE J Biomed Health InfĪdegun AA, Viriri S (2020) FCN-based DenseNet framework for automated detection and classification of skin lesions in dermoscopy images.
Song L, Lin J, Jane Wang Z, Wang H (2020) An end-to-end multi-task deep learning framework for skin lesion analysis. Mansutti G, Mobashsher AT, Bialkowski K, Mohammed B, Abbosh A (2019) Millimeter-wave substrate integrated waveguide probe for skin cancer detection. Goyal M, Oakley A, Bansal P, Dancey D, Yap MH (2019) Skin lesion segmentation in dermoscopic images with ensemble deep learning methods. In: 2018 5th IEEE Uttar Pradesh section international conference on electrical, electronics and computer engineeringĭíaz S, Krohmer T, Moreira Á, Godoy SE, Figueroa M (2019) An instrument for accurate and non-invasive screening of skin cancer based on multimodal imaging. Singh NP, Shahi P, Yadav S, Singh N (2018) Skin cancer detection using various classifiers. IEEE J Biomed Health Infĭo T-T, Hoang T, Pomponiu V, Zhou Y, Chen Z, Cheung N-M, Koh D, Tan A, Tan S-H (2018) Accessible melanoma detection using smartphones and mobile image analysis. Ahn E, Kim J, Bi L, Kumar A, Li C, Fulham M, Feng DD (2016) Saliency-based lesion segmentation via background detection in dermoscopic images.
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