FTMF-net: A Fourier transform-multiscale feature fusion network for segmentation of small polyp objects

G Liu, Z Chen, D Liu, B Chang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The detection and resection of small polyp objects in colonoscopy images are of great
significance for the prevention of colorectal cancer (CRC). At present, blurred edges …

SME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-Supervised Polyp Segmentation

A Wang, M Xu, Y Zhang, M Islam, H Ren - International Conference on …, 2023 - Springer
Fully-supervised polyp segmentation has accomplished significant triumphs over the years
in advancing the early diagnosis of colorectal cancer. However, label-efficient solutions from …

Adaptive Frequency Learning Network With Anti-Aliasing Complex Convolutions for Colon Diseases Subtypes

K Wang, S Zhuang, J Miao, Y Chen… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
The automatic and dependable identification of colonic disease subtypes by colonoscopy is
crucial. Once successful, it will facilitate clinically more in-depth disease staging analysis …

A novel deep network with triangular-star spatial–spectral fusion encoding and entropy-aware double decoding for coronary artery segmentation

C Dong, D Dai, Z Li, S Xu - Information Fusion, 2024 - Elsevier
Coronary artery segmentation is a crucial prerequisite for computer-aided diagnosis of
coronary artery disease (CAD). However, this task remains challenging due to the intricate …

Polyp-DAM: Polyp segmentation via depth anything model

Z Zheng, C Wu, Y Jin, X Jia - IEEE Signal Processing Letters, 2024 - ieeexplore.ieee.org
Recently, large models (Segment Anything model) came on the scene to provide a new
baseline for polyp segmentation tasks. This demonstrates that large models with a sufficient …

UCFNNet: Ulcerative colitis evaluation based on fine-grained lesion learner and noise suppression gating

H Li, Z Wang, Z Guan, J Miao, W Li, P Yu… - Computer Methods and …, 2024 - Elsevier
Abstract Background and Objective Ulcerative colitis (UC) is a chronic disease characterized
by recurrent symptoms and significant morbidity. The exact cause of the disease remains …

YOLO-FCNET: Enhancing SAR Ship Detection with Fourier Convolution in YOLOv8

Z Zhang, Y Li - International Joint Conference on Artificial Intelligence, 2024 - Springer
Abstract Detecting ships in Synthetic Aperture Radar (SAR) images is crucial for maritime
traffic surveillance and safety. Despite the extensive application of deep learning in SAR …

D2GAN: A Dual-Domain Generative Adversarial Network for High-Quality PET Image Reconstruction

L Jiang, J Cui, Y Xu, B Yan, J Zhou… - … Joint Conference on …, 2024 - ieeexplore.ieee.org
Positron emission tomography (PET) is a widely adopted nuclear imaging technique for
early tumor detection and brain disorder diagnosis, while its intrinsic tracer radiation …

Dual-Domain Learning Network for Polyp Segmentation

Y Li, Z Zheng, W Ren, Y Nie, J Zhang, X Jia - International Workshop on …, 2023 - Springer
Automatic polyp segmentation is a crucial application of artificial intelligence in the medical
field. However, this task is challenging due to uneven brightness, variable colors, and blurry …

Breast Cancer Histopathology Image Classification Using Frequency Attention Convolution Network

R Lu, Q Sun, X Ding, J Zhang - … Conference on Advanced Data Mining and …, 2023 - Springer
The existing deep learning works mainly capture breast cancer histopathology image
features in the spatial domain, and they rarely consider the frequency domain feature …