An image-based segmentation recommender using crowdsourcing and transfer learning for skin lesion extraction

Author:

Soudani AmiraORCID,Barhoumi WalidORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference56 articles.

1. Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks;Almasni;Computer Methods and Programs in Biomedicine,2018

2. k-means clustering and ensemble of regressions: An algorithm for the isic 2017 skin lesion segmentation challenge;Alvarez;The Computing Research Repository (CoRR),2017

3. American Cancer Society (2017). Cancer facts & figures 2017 special section: Rare cancers in adults. https://www.cancer.org/content/dam/cancer-org/research/cancer-facts-and-statistics/annual-cancer-facts-and-figures/2017/cancer-facts-and-figures-2017.pdf.

4. Segmentation of skin lesions based on fuzzy classification of pixels and histogram thresholding;Arroyo;The Computing Research Repository (CoRR),2017

5. Spatially aware melanoma segmentation using hybrid deep learning techniques;Attia;The Computing Research Repository (CoRR),2017

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