An adaptive watershed segmentation based medical image denoising using deep convolutional neural networks
A Annavarapu, S Borra - Biomedical Signal Processing and Control, 2024 - Elsevier
Until today, researchers have introduced a range of methodologies to decrease the noise
effect on medical images. In the proposed approach, an adapted deep convolutional neural …
effect on medical images. In the proposed approach, an adapted deep convolutional neural …
[HTML][HTML] Research on improved black widow algorithm for medical image denoising
H Qu, K Liu, L Zhang - Scientific Reports, 2024 - nature.com
Improving the quality of medical images is crucial for accurate clinical diagnosis; however,
medical images are often disrupted by various types of noise, posing challenges to the …
medical images are often disrupted by various types of noise, posing challenges to the …
[HTML][HTML] Ultrasound image denoising autoencoder model based on lightweight attention mechanism
L Shi, W Di, J Liu - Quantitative Imaging in Medicine and Surgery, 2024 - ncbi.nlm.nih.gov
Background The presence of noise in medical ultrasound images significantly degrades
image quality and affects the accuracy of disease diagnosis. The convolutional neural …
image quality and affects the accuracy of disease diagnosis. The convolutional neural …