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Datasets for Skin Segmentation. ECU dataset is split in 2000 images for training and 2000 for test set. For ECU, we considered the subset of images that were not used in the training phase.
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... particular, we used the first 2000 images for the training phase, leaving them out from the test set. The testing phase is performed on 10 different datasets that are reported in Table 1. ...Similar publications
Citations
... The use of semantic segmentation deep learning models in this context can efficiently help the human operator responsible for assessing the healthiness of a oocyte to be fertilized and returned to the uterus. Other two interesting contributions showing applications of deep learning for the task of semantics segmentation in biomedical related fields, in particular related to the dermatology fields, are represented by [44,45]. In [44] the authors presented a short survey and overview of the most used methodologies in this fields, together with the relevant datasets. ...
... Other two interesting contributions showing applications of deep learning for the task of semantics segmentation in biomedical related fields, in particular related to the dermatology fields, are represented by [44,45]. In [44] the authors presented a short survey and overview of the most used methodologies in this fields, together with the relevant datasets. Most recent models were compared. ...
