Deep weakly-supervised learning methods for classification and localization in histology images: a survey.
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Cites background from "Deep weakly-supervised learning met..."
...The advancement of whole slide imaging (WSI) scanners has opened new opportunities in automating pathology image analysis by digitizing the slides [115]....
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"Deep weakly-supervised learning met..." refers methods in this paper
...For all methods, we use an ImageNet-pretrained ResNet-18 (He et al., 2016) architecture as a feature extractor....
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...Most of these techniques have been originally proposed to process natural images and validated on well-known public benchmarks such as ImageNet (Deng et al., 2009), e....
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...Most of these techniques have been originally proposed to process natural scene images and validated on well-known public benchmarks such as ImageNet (Deng et al., 2009), Pascal VOC (Everingham et al., 2010) and MS-COCO (Lin et al., 2014)....
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