DIESEL+: Accelerating Distributed Deep Learning Tasks on Image Datasets
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2021.3104252
Abstract: We observe that data access and processing takes a significant amount of time in large-scale deep learning training tasks (DLTs) on image datasets. Three factors contribute to this problem: (1) the massive and recurrent accesses… read more here.
Keywords: accelerating distributed; deep learning; image datasets; diesel accelerating ... See more keywords
Towards Transparency in Dermatology Image Datasets with Skin Tone Annotations by Experts, Crowds, and an Algorithm
Sign Up to like & getrecommendations! Published in 2022 at "Proceedings of the ACM on Human-Computer Interaction"
DOI: 10.1145/3555634
Abstract: While artificial intelligence (AI) holds promise for supporting healthcare providers and improving the accuracy of medical diagnoses, a lack of transparency in the composition of datasets exposes AI models to the possibility of unintentional and… read more here.
Keywords: skin tone; transparency; dermatology; image datasets ... See more keywords
Performance of Convolutional Neural Networks for Polyp Localization on Public Colonoscopy Image Datasets
Sign Up to like & getrecommendations! Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics12040898
Abstract: Colorectal cancer is one of the most frequent malignancies. Colonoscopy is the de facto standard for precancerous lesion detection in the colon, i.e., polyps, during screening studies or after facultative recommendation. In recent years, artificial… read more here.
Keywords: neural networks; public colonoscopy; convolutional neural; image datasets ... See more keywords