Copertina

ESKNet-An enhanced adaptive selection kernel convolution for breast tumors segmentation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Chen, Gongping, Zhou, Lu, Zhang, Jianxun, Yin, Xiaotao, Cui, Liang, Dai, Yu
Natura:	Preprint
Pubblicazione:	2022
Soggetti:	Image and Video Processing Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

BAAF: A benchmark attention adaptive framework for medical ultrasound image segmentation tasks
di: Chen, Gongping, et al.
Pubblicazione: (2023)

AAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound Images
di: Chen, Gongping, et al.
Pubblicazione: (2022)

Learning from spatially inhomogenous data: resolution-adaptive convolutions for multiple sclerosis lesion segmentation
di: Diaz, Ivan, et al.
Pubblicazione: (2025)

A deep convolutional neural network for salt-and-pepper noise removal using selective convolutional blocks
di: Rafiee, Ahmad Ali, et al.
Pubblicazione: (2023)

Mobile U-ViT: Revisiting large kernel and U-shaped ViT for efficient medical image segmentation
di: Tang, Fenghe, et al.
Pubblicazione: (2025)

Rethinking the Unpretentious U-net for Medical Ultrasound Image Segmentation
di: Chen, Gongping, et al.
Pubblicazione: (2022)

Self-calibrated convolution towards glioma segmentation
di: Salvagnini, Felipe C. R., et al.
Pubblicazione: (2024)

HyperSpace: Hypernetworks for spacing-adaptive image segmentation
di: Joutard, Samuel, et al.
Pubblicazione: (2024)

TopoTxR: A topology-guided deep convolutional network for breast parenchyma learning on DCE-MRIs
di: Wang, Fan, et al.
Pubblicazione: (2024)

Cross-modal tumor segmentation using generative blending augmentation and self training
di: Sallé, Guillaume, et al.
Pubblicazione: (2023)

Re-DiffiNet: Modeling discrepancies in tumor segmentation using diffusion models
di: Ren, Tianyi, et al.
Pubblicazione: (2024)

Improved Unet brain tumor image segmentation based on GSConv module and ECA attention mechanism
di: Tian, Qiyuan, et al.
Pubblicazione: (2024)

Improved Unet model for brain tumor image segmentation based on ASPP-coordinate attention mechanism
di: Wang, Zixuan, et al.
Pubblicazione: (2024)

Temporal Neural Cellular Automata: Application to modeling of contrast enhancement in breast MRI
di: Lang, Daniel M., et al.
Pubblicazione: (2025)

Postoperative glioblastoma segmentation: Development of a fully automated pipeline using deep convolutional neural networks and comparison with currently available models
di: Cepeda, Santiago, et al.
Pubblicazione: (2024)

NCAdapt: Dynamic adaptation with domain-specific Neural Cellular Automata for continual hippocampus segmentation
di: Ranem, Amin, et al.
Pubblicazione: (2024)

Synthetic magnetic resonance images for domain adaptation: Application to fetal brain tissue segmentation
di: de Dumast, Priscille, et al.
Pubblicazione: (2021)

Self-supervised learning improves robustness of deep learning lung tumor segmentation to CT imaging differences
di: Jiang, Jue, et al.
Pubblicazione: (2024)

Region-based U-net for accelerated training and enhanced precision in deep brain segmentation
di: Li, Mengyu, et al.
Pubblicazione: (2024)

Automated ensemble method for pediatric brain tumor segmentation
di: Javaji, Shashidhar Reddy, et al.
Pubblicazione: (2023)

Semi-overcomplete convolutional auto-encoder embedding as shape priors for deep vessel segmentation
di: Sadikine, Amine, et al.
Pubblicazione: (2024)

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV
di: Ye, Hongbo, et al.
Pubblicazione: (2025)

Optimizing the nnU-Net model for brain tumor (Glioma) segmentation Using a BraTS Sub-Saharan Africa (SSA) dataset
di: Kalu, Chukwuemeka Arua, et al.
Pubblicazione: (2025)

Large coordinate kernel attention network for lightweight image super-resolution
di: Hao, Fangwei, et al.
Pubblicazione: (2024)

Leveraging SO(3)-steerable convolutions for pose-robust semantic segmentation in 3D medical data
di: Diaz, Ivan, et al.
Pubblicazione: (2023)

PSFHS Challenge Report: Pubic Symphysis and Fetal Head Segmentation from Intrapartum Ultrasound Images
di: Bai, Jieyun, et al.
Pubblicazione: (2024)

On generalisability of segment anything model for nuclear instance segmentation in histology images
di: Xu, Kesi, et al.
Pubblicazione: (2024)

High-resolution segmentations of the hypothalamus and its subregions for training of segmentation models
di: Rodrigues, Livia, et al.
Pubblicazione: (2024)

Application of convolutional neural networks in image super-resolution
di: Tian, Chunwei, et al.
Pubblicazione: (2025)

Path-SAM2: Transfer SAM2 for digital pathology semantic segmentation
di: Zhang, Mingya, et al.
Pubblicazione: (2024)

Influence based explainability of brain tumors segmentation in multimodal Magnetic Resonance Imaging
di: Torda, Tommaso, et al.
Pubblicazione: (2024)

MOSformer: Momentum encoder-based inter-slice fusion transformer for medical image segmentation
di: Huang, De-Xing, et al.
Pubblicazione: (2024)

DmADs-Net: Dense multiscale attention and depth-supervised network for medical image segmentation
di: Fu, Zhaojin, et al.
Pubblicazione: (2024)

Quantum-enhanced unsupervised image segmentation for medical images analysis
di: Domingo, Laia, et al.
Pubblicazione: (2024)

Error correcting 2D-3D cascaded network for myocardial infarct scar segmentation on late gadolinium enhancement cardiac magnetic resonance images
di: Schwab, Matthias, et al.
Pubblicazione: (2023)

Decentralized Gossip Mutual Learning (GML) for brain tumor segmentation on multi-parametric MRI
di: Chen, Jingyun, et al.
Pubblicazione: (2024)

Integrating multiscale topology in digital pathology with pyramidal graph convolutional networks
di: Ibañez, Victor, et al.
Pubblicazione: (2024)

Hermite coordinate interpolation kernels: application to image zooming
di: Delibasis, Konstantinos K., et al.
Pubblicazione: (2024)

Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge
di: Luo, Gongning, et al.
Pubblicazione: (2023)

Brain tumor segmentation using synthetic MR images -- A comparison of GANs and diffusion models
di: Akbar, Muhammad Usman, et al.
Pubblicazione: (2023)