Results 231 to 240 of about 46,419 (286)

A multi-modal deep learning framework for enhanced breast cancer diagnosis using mammograms and clinical data. [PDF]

Sci Rep
Ibrahim AM, Li J, Akhtar F, Chaudhary AA, Ali MAM, Khan H, Osman M.   +6 more
europepmc   +1 more source

Strong‐Magnetic Flexible Composites for Magnetically Responsive Soft Robots

Advanced Robotics Research, EarlyView.
This perspective provides an overview of the performance mechanisms, preparation methods, and applications of strong magnetic flexible composite materials in soft actuators (such as gripping, movement, and sensing), and further explores current opportunities and challenges.
Wenwen Li, Shuai Liu, Xinyi Wang, Xinglong Gong, Shouhu Xuan   +4 more
wiley   +1 more source

A Lightweight Network for Free Fluid Detection in Focused Assessment with Sonography in Trauma (FAST) Examination. [PDF]

Bioengineering (Basel)
Yang M, Yuan N, Han S, Guo T, Luo W, Lv H.   +5 more
europepmc   +1 more source

An Adaptive Clear High-Dynamic Range Fusion Algorithm Based on Field-Programmable Gate Array for Real-Time Video Stream. [PDF]

Sensors (Basel)
Huang H, Xu Y, Zhao T.
europepmc   +1 more source

DeepLayer-ID: A Lightweight Multi-Domain Forensic Framework for Real-Time Deepfake Detection in Resource-Constrained UAV Sensor Platforms. [PDF]

Sensors (Basel)
Alshammari NH, Alshammari SA.
europepmc   +1 more source

JAK Activation Drives MED15-Associated Melanocyte Dysfunction in Vitiligo Beyond Immune Cells. [PDF]

Clin Cosmet Investig Dermatol
Wu J, Ren Y, Cui J, He M, Zhang X, Li D, Zhang N.   +6 more
europepmc   +1 more source

SkinFormer: a hybrid vision transformer and ConvNeXtV2 approach for skin cancer detection and segmentation. [PDF]

Sci Rep
Fu Y, Guo C.
europepmc   +1 more source

From local textures to global attention: a hybrid feature fusion network for skin lesion classification. [PDF]

Sci Rep
Alkhrijah Y, Shah SNH, Usman SM, Khalid S, Shah SA, Alshuhri SS, Shin J.   +6 more
europepmc   +1 more source

Perceptual evaluation of multi-exposure image fusion algorithms

2014 Sixth International Workshop on Quality of Multimedia Experience (QoMEX), 2014
Multi-exposure image fusion is considered an effective and efficient quality enhancement technique widely adopted in consumer electronics products. Nevertheless, little work has been dedicated to the quality assessment of fused images created from natural images captured at multiple exposure levels. In this work, we first build a database that contains
Kai Zeng 0003, Kede Ma, Rania Hassen, Zhou Wang 0001   +3 more
openaire   +2 more sources

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Perceptual Quality Assessment for Multi-Exposure Image Fusion

IEEE Transactions on Image Processing, 2015
Multi-exposure image fusion (MEF) is considered an effective quality enhancement technique widely adopted in consumer electronics, but little work has been dedicated to the perceptual quality assessment of multi-exposure fused images. In this paper, we first build an MEF database and carry out a subjective user study to evaluate the quality of images ...
Kede Ma, Kai Zeng, Zhou Wang
exaly   +3 more sources