Cover Image

Progressive Dual Priori Network for Generalized Breast Tumor Segmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Li, Wang, Lihui, Kuai, Zixiang, Tang, Lei, Ou, Yingfeng, Ye, Chen, Zhu, Yuemin
Format:	Preprint
Published:	2023
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Spatial-Temporal Progressive Fusion Network for Breast Lesion Segmentation in Ultrasound Videos
by: Tu, Zhengzheng, et al.
Published: (2024)

Prototype Learning Guided Hybrid Network for Breast Tumor Segmentation in DCE-MRI
by: Zhou, Lei, et al.
Published: (2024)

Uncertainty-Gated Deformable Network for Breast Tumor Segmentation in MR Images
by: Zhang, Yue, et al.
Published: (2025)

Spatial-Frequency Dual Progressive Attention Network For Medical Image Segmentation
by: Zhou, Zhenhuan, et al.
Published: (2024)

Graph-Based Multi-Modal Light-weight Network for Adaptive Brain Tumor Segmentation
by: Huo, Guohao, et al.
Published: (2025)

Evaluating the Impact of Sequence Combinations on Breast Tumor Segmentation in Multiparametric MRI
by: Min, Hang, et al.
Published: (2024)

Breast Ultrasound Tumor Generation via Mask Generator and Text-Guided Network:A Clinically Controllable Framework with Downstream Evaluation
by: Pan, Haoyu, et al.
Published: (2025)

Tumor Detection, Segmentation and Classification Challenge on Automated 3D Breast Ultrasound: The TDSC-ABUS Challenge
by: Luo, Gongning, et al.
Published: (2025)

Segment Anything Model for Brain Tumor Segmentation
by: Zhang, Peng, et al.
Published: (2023)

BC-MRI-SEG: A Breast Cancer MRI Tumor Segmentation Benchmark
by: Bilic, Anthony, et al.
Published: (2024)

PanTS: The Pancreatic Tumor Segmentation Dataset
by: Li, Wenxuan, et al.
Published: (2025)

Modifying the U-Net's Encoder-Decoder Architecture for Segmentation of Tumors in Breast Ultrasound Images
by: Derakhshandeh, Sina, et al.
Published: (2024)

Hybrid Attention Network for Accurate Breast Tumor Segmentation in Ultrasound Images
by: Aslam, Muhammad Azeem, et al.
Published: (2025)

Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic Segmentation
by: Shi, Hairong, et al.
Published: (2024)

Large Kernel MedNeXt for Breast Tumor Segmentation and Self-Normalizing Network for pCR Classification in Magnetic Resonance Images
by: Musah, Toufiq
Published: (2025)

Optimizing 4D Lookup Table for Low-light Video Enhancement via Wavelet Priori
by: He, Jinhong, et al.
Published: (2024)

Generative Adversarial Networks for Weakly Supervised Generation and Evaluation of Brain Tumor Segmentations on MR Images
by: Yoo, Jay J., et al.
Published: (2022)

Cross-Modal Interactive Perception Network with Mamba for Lung Tumor Segmentation in PET-CT Images
by: Mei, Jie, et al.
Published: (2025)

Anatomical Consistency Distillation and Inconsistency Synthesis for Brain Tumor Segmentation with Missing Modalities
by: Zhang, Zheyu, et al.
Published: (2024)

Improved HER2 Tumor Segmentation with Subtype Balancing using Deep Generative Networks
by: Öttl, Mathias, et al.
Published: (2022)

Semi-supervised Cervical Segmentation on Ultrasound by A Dual Framework for Neural Networks
by: Wang, Fangyijie, et al.
Published: (2025)

Degradation-Aware Blur-Segmentation of Brain Tumor
by: Wang, Yuchun, et al.
Published: (2026)

UADSN: Uncertainty-Aware Dual-Stream Network for Facial Nerve Segmentation
by: Zhu, Guanghao, et al.
Published: (2024)

Towards Trustworthy Breast Tumor Segmentation in Ultrasound using Monte Carlo Dropout and Deep Ensembles for Epistemic Uncertainty Estimation
by: Musah, Toufiq, et al.
Published: (2025)

SEDNet: Shallow Encoder-Decoder Network for Brain Tumor Segmentation
by: Olisah, Chollette C., et al.
Published: (2024)

Interactive Tumor Progression Modeling via Sketch-Based Image Editing
by: Huang, Gexin, et al.
Published: (2025)

Ultrasound SAM Adapter: Adapting SAM for Breast Lesion Segmentation in Ultrasound Images
by: Tu, Zhengzheng, et al.
Published: (2024)

Rethinking Brain Tumor Segmentation from the Frequency Domain Perspective
by: Shao, Minye, et al.
Published: (2025)

Dual-Alignment Knowledge Retention for Continual Medical Image Segmentation
by: Ye, Yuxin, et al.
Published: (2025)

Progressive Uncertainty-Guided Evidential U-KAN for Trustworthy Medical Image Segmentation
by: Yang, Zhen, et al.
Published: (2025)

Research on Image Super-Resolution Reconstruction Mechanism based on Convolutional Neural Network
by: Yan, Hao, et al.
Published: (2024)

Advancing UWF-SLO Vessel Segmentation with Source-Free Active Domain Adaptation and a Novel Multi-Center Dataset
by: Wang, Hongqiu, et al.
Published: (2024)

Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions
by: Luo, Luyang, et al.
Published: (2023)

SegRap2025: A Benchmark of Gross Tumor Volume and Lymph Node Clinical Target Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma
by: Fu, Jia, et al.
Published: (2026)

Fed-MUnet: Multi-modal Federated Unet for Brain Tumor Segmentation
by: Zhou, Ruojun, et al.
Published: (2024)

Modality Exchange Network for Retinogeniculate Visual Pathway Segmentation
by: Han, Hua, et al.
Published: (2024)

On Enhancing Brain Tumor Segmentation Across Diverse Populations with Convolutional Neural Networks
by: Maani, Fadillah, et al.
Published: (2024)

PCA for Enhanced Cross-Dataset Generalizability in Breast Ultrasound Tumor Segmentation
by: Schmidt, Christian, et al.
Published: (2025)

GANet-Seg: Adversarial Learning for Brain Tumor Segmentation with Hybrid Generative Models
by: Cui, Qifei, et al.
Published: (2025)

Breast Tumor Classification Using EfficientNet Deep Learning Model
by: Behzadpour, Majid, et al.
Published: (2024)