Discriminating HFrEF vs HFpEF from chest radiographs: Mitigating demographic performance gaps via augmentation and multimodal fusion. [PDF]
Shu HJ +5 more
europepmc +1 more source
3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends
Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu +5 more
wiley +1 more source
BDRoad-Sense: A benchmark dataset for road surface detection and safety enhancement. [PDF]
Mashrafi AS +4 more
europepmc +1 more source
Is biceps augmentation effective for scope-assisted lower trapezius tendon transfer in posterosuperior irreparable rotator cuff tears? A retrospective short-term clinical comparison. [PDF]
Baek CH +5 more
europepmc +1 more source
Frangipani, hibiscus, marigold, and rose leaf imageimagemagei dataset for plant species identification. [PDF]
Matin MMH, Sefatullah M.
europepmc +1 more source
Air Target ISAR Recognition Based on Data Augmentation and Transfer Learning. [PDF]
Wang M, Huang Z, Cai J, Wu T, Lin Y.
europepmc +1 more source
CAHA-Net: A novel MR image classification model based on DenseNet incorporating coordinate attention and hybrid augmentation. [PDF]
Qi H +6 more
europepmc +1 more source
Enhancing Hindi OCR robustness with CRNN-ResNet50: a data augmentation approach on the devanagari dataset. [PDF]
Kumar S, Sourabh S, Pati J, Kumar S.
europepmc +1 more source
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Generative Adversarial Networks in Medical Image augmentation: A review
Computers in Biology and Medicine, 2022OBJECT With the development of deep learning, the number of training samples for medical image-based diagnosis and treatment models is increasing. Generative Adversarial Networks (GANs) have attracted attention in medical image processing due to their ...
Xu-Hua Yang +2 more
exaly +2 more sources
This work aims to determine the most suitable technique for dermoscopy image augmentation to improve the performance of lesion classifications. Also, a new augmentation technique based on wavelet packet transformations has been developed.
Evgin Goceri
exaly +2 more sources

