ABSTRACT: This paper discusses the task of enhancing malaria detection in thick blood smear images by proposing a UNet-based denoising algorithm. Noise and artifacts in these images can compromise the ...
Abstract: Strong background noise hinders partial discharge (PD) detection and degrades deep learning models. This study proposes LWDenoiser, an adaptive Legendre multi-wavelet (LW) denoising module ...
A new method enables medical digital twins to achieve 98% accuracy in breast cancer prediction, even under adversarial attacks Medical digital twins are virtual models of the human body that can help ...
Abstract: Existing deep learning-based spatiotemporal fusion (STF) methods for remote sensing images primarily denoise low-frequency features. They neglect the impact of noise in high-frequency ...
Key Finding: NSCT achieves +16.8% SSIM and +2.93 dB PSNR improvement over DWT, winning quality on all 11 test images. wavelets-and-contuorlets/ ├── README.md # This file ├── COMPLETION_REPORT.txt # ...
Now t at we can run wav_data in both IDL and Python with matching results, we should try an example using the IDL Wavelet toolkit routines versus the Python wavelets library and see how comparable ...
ABSTRACT: Magnetic Resonance Imaging (MRI) is commonly applied to clinical diagnostics owing to its high soft-tissue contrast and lack of invasiveness. However, its sensitivity to noise, attributable ...
Department of Biomedical Engineering, Anhui Provincial Engineering Research Center of Semiconductor Inspection Technology and Instrument, Anhui Province Key Laboratory of Measuring Theory and ...
This data loss can obscure critical details, affect measurements, or even compromise downstream AI model performance. Therefore, it’s important to remove noise from the image to preserve its details ...
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