Single image denoising via a new lightweight learning-based model

S Rezvani, FS Siahkar, Y Rezvani… - IEEE …, 2024 - ieeexplore.ieee.org
Restoring a high-quality image from a noisy version poses a significant challenge in
computer vision, particularly in today's context where high-resolution and large-sized …

Generative Adversarial Networks (GANs) for Image Augmentation in Farming: A Review

Z ur Rahman, MSM Asaari, H Ibrahim, ISZ Abidin… - IEEE …, 2024 - ieeexplore.ieee.org
Enhancing model performance in agricultural image analysis faces challenges due to
limited datasets, biological variability, and uncontrolled environments. Deep learning …

Fusionlungnet: Multi-scale fusion convolution with refinement network for lung ct image segmentation

S Rezvani, M Fateh, Y Jalali, A Fateh - arxiv preprint arxiv:2410.15812, 2024 - arxiv.org
Early detection of lung cancer is crucial as it increases the chances of successful treatment.
Automatic lung image segmentation assists doctors in identifying diseases such as lung …

Multi-scale generative adversarial network with multi-head external attention for image inpainting

G Chen, Q Feng, X He, J Yao - IEEE Access, 2024 - ieeexplore.ieee.org
Inpainting images that have sizable missing blocks presents a considerable challenge in
terms of preserving visual consistency and attaining a convincing result. In this study, the …

Can deep learning wound segmentation algorithms developed for a dataset be effective for another dataset? A specific focus on diabetic foot ulcers

S Lucho, R Naemi, B Castañeda, S Treuillet - IEEE Access, 2024 - ieeexplore.ieee.org
Diabetic foot ulcers (DFU) represent a severe complication, often resulting from poor
glycemic control, neuropathy, peripheral vascular disease, or inadequate foot care. DFUs …

A novel network fusing transformer and CNN for road crack segmentation

M He, TL Lau - IEEE Access, 2024 - ieeexplore.ieee.org
Surface cracks pose a significant risk to the long-term strength and security of roads,
frequently resulting in safety issues. As a result, crack identification is of utmost importance …

LMS-Net: A light-weight network for mungbean salt stress identification

H Zhang, J Liu, D Jiang, Z Luo, W Liang, S Li… - IEEE …, 2024 - ieeexplore.ieee.org
Salt stress is one of the main factors affecting mungbean production, and the assessment of
salt tolerance in mungbean typically requires long-term morphological observation or time …

PDLFBR-Net: Partial Decoder Localization and Foreground-Background Refinement Network for Polyp Segmentation

Y Peng, M Feng, Z Zhai, Z Zheng - IEEE Access, 2024 - ieeexplore.ieee.org
Polyp segmentation is vital for early detection and treatment of colorectal cancer,
significantly improving patient prognosis. This paper proposes an efficient and precise polyp …

Generating Diverse Image Variations with Diffusion Models by Combining Intra-Image Self-Attention and Decoupled Cross-Attention

D Jeong, D Kang, J Park, J Paik - IEEE Access, 2024 - ieeexplore.ieee.org
In this paper, we present a novel integration of Decoupled Cross-Attention and Intra-Image
Self-Attention within a diffusion model framework to generate diverse and coherent image …

Noise robust underwater fishing net recognition based on range gated imaging

Z Xu, X Wang, L Sun, B Song, Y Zhang, P Lei… - IEEE …, 2024 - ieeexplore.ieee.org
Underwater fishing net recognition plays an indispensable role in applications such as safe
navigation of unmanned underwater vehicles, protection of marine ecology and marine …