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Deep learning and traditional-based CAD schemes for the pulmonary embolism diagnosis: A survey
The purpose of this article is to review, evaluate, and compare the performance of deep learning and traditional-based CAD system for diagnosis PE and to help physicians and researchers in this field.
WSMN: An optimized multipurpose blind watermarking in Shearlet domain using MLP and NSGA-II
Digital watermarking is a remarkable issue in the field of information security to avoid the misuse of images in multimedia networks.
TRLG: Fragile blind quad watermarking for image tamper detection and recovery by providing compact digests with quality optimized using LWT and GA
TRLG generates four compact digests with super quality based on lifting wavelet transform and halftoning technique by distinguishing the types of image blocks.
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