ISIC-2018
PulseAugur coverage of ISIC-2018 — every cluster mentioning ISIC-2018 across labs, papers, and developer communities, ranked by signal.
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New chaotic self-supervision boosts medical image classification accuracy
Researchers have developed a new self-supervised learning strategy called the Chaotic Denoising Autoencoder (CDAE) for medical image classification. Unlike methods that use masking, CDAE applies chaotic transformations …
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New method improves AI model safety post-hoc with targeted error correction
Researchers have developed a post-hoc error correction method to enhance the safety of machine learning models in critical applications. This technique employs a dual-classifier GBDT pipeline to differentiate between ro…
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RABC-Net achieves high accuracy in annotation-free skin lesion segmentation
Researchers have developed RABC-Net, a novel system for segmenting skin lesions in dermoscopy images that does not require pixel-level manual annotations for training. The system incorporates reliability learning and ad…