Saved in:
| Main Authors: | Feng, Zetian, Fu, Juan, Zou, Xuebin, Ye, Hongsheng, Wu, Hong, Zhou, Jianhua, Wang, Yi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.03421 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Towards Multi-modality Fusion and Prototype-based Feature Refinement for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound
by: Wu, Hong, et al.
Published: (2024)
by: Wu, Hong, et al.
Published: (2024)
Multi-modality transrectal ultrasound video classification for identification of clinically significant prostate cancer
by: Wu, Hong, et al.
Published: (2024)
by: Wu, Hong, et al.
Published: (2024)
Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound
by: Wang, Yi, et al.
Published: (2019)
by: Wang, Yi, et al.
Published: (2019)
Prostate-Specific Foundation Models for Enhanced Detection of Clinically Significant Cancer
by: Lee, Jeong Hoon, et al.
Published: (2025)
by: Lee, Jeong Hoon, et al.
Published: (2025)
PCa-RadHop: A Transparent and Lightweight Feed-forward Method for Clinically Significant Prostate Cancer Segmentation
by: Magoulianitis, Vasileios, et al.
Published: (2024)
by: Magoulianitis, Vasileios, 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)
by: Pan, Haoyu, et al.
Published: (2025)
Enhancing Clinically Significant Prostate Cancer Prediction in T2-weighted Images through Transfer Learning from Breast Cancer
by: Tai, Chi-en Amy, et al.
Published: (2024)
by: Tai, Chi-en Amy, et al.
Published: (2024)
TRUSWorthy: Toward Clinically Applicable Deep Learning for Confident Detection of Prostate Cancer in Micro-Ultrasound
by: Harmanani, Mohamed, et al.
Published: (2025)
by: Harmanani, Mohamed, et al.
Published: (2025)
Deep Radiomics Detection of Clinically Significant Prostate Cancer on Multicenter MRI: Initial Comparison to PI-RADS Assessment
by: Nketiah, G. A., et al.
Published: (2024)
by: Nketiah, G. A., et al.
Published: (2024)
Do High-Performance Image-to-Image Translation Networks Enable the Discovery of Radiomic Features? Application to MRI Synthesis from Ultrasound in Prostate Cancer
by: Salmanpour, Mohammad R., et al.
Published: (2024)
by: Salmanpour, Mohammad R., et al.
Published: (2024)
GADA: Graph Attention-based Detection Aggregation for Ultrasound Video Classification
by: Chen, Li, et al.
Published: (2025)
by: Chen, Li, et al.
Published: (2025)
Salient Region Matching for Fully Automated MR-TRUS Registration
by: Feng, Zetian, et al.
Published: (2025)
by: Feng, Zetian, et al.
Published: (2025)
Cross-Shaped Windows Transformer with Self-supervised Pretraining for Clinically Significant Prostate Cancer Detection in Bi-parametric MRI
by: Li, Yuheng, et al.
Published: (2023)
by: Li, Yuheng, et al.
Published: (2023)
A Narrative Review of Image Processing Techniques Related to Prostate Ultrasound
by: Wang, Haiqiao, et al.
Published: (2024)
by: Wang, Haiqiao, et al.
Published: (2024)
Registration-Enhanced Segmentation Method for Prostate Cancer in Ultrasound Images
by: Sang, Shengtian, et al.
Published: (2025)
by: Sang, Shengtian, et al.
Published: (2025)
Hybrid Convolutional and Attention Network for Hyperspectral Image Denoising
by: Hu, Shuai, et al.
Published: (2024)
by: Hu, Shuai, et al.
Published: (2024)
Domain Transfer Through Image-to-Image Translation for Uncertainty-Aware Prostate Cancer Classification
by: Zhou, Meng, et al.
Published: (2023)
by: Zhou, Meng, et al.
Published: (2023)
Defining Robust Ultrasound Quality Metrics via an Ultrasound Foundation Model
by: Huang, Ziyang, et al.
Published: (2026)
by: Huang, Ziyang, et al.
Published: (2026)
Hybrid Attention Network for Accurate Breast Tumor Segmentation in Ultrasound Images
by: Aslam, Muhammad Azeem, et al.
Published: (2025)
by: Aslam, Muhammad Azeem, et al.
Published: (2025)
Mask Enhanced Deeply Supervised Prostate Cancer Detection on B-mode Micro-Ultrasound
by: Zhang, Lichun, et al.
Published: (2024)
by: Zhang, Lichun, et al.
Published: (2024)
MamT$^4$: Multi-view Attention Networks for Mammography Cancer Classification
by: Ibragimov, Alisher, et al.
Published: (2024)
by: Ibragimov, Alisher, et al.
Published: (2024)
LSKSANet: A Novel Architecture for Remote Sensing Image Semantic Segmentation Leveraging Large Selective Kernel and Sparse Attention Mechanism
by: Fu, Miao, et al.
Published: (2024)
by: Fu, Miao, et al.
Published: (2024)
Sparse Focus Network for Multi-Source Remote Sensing Data Classification
by: Jin, Xuepeng, et al.
Published: (2024)
by: Jin, Xuepeng, et al.
Published: (2024)
Automatic Prostate Volume Estimation in Transabdominal Ultrasound Images
by: Natali, Tiziano, et al.
Published: (2025)
by: Natali, Tiziano, et al.
Published: (2025)
Cross-Slice Attention and Evidential Critical Loss for Uncertainty-Aware Prostate Cancer Detection
by: Hung, Alex Ling Yu, et al.
Published: (2024)
by: Hung, Alex Ling Yu, et al.
Published: (2024)
TinyUSFM: Towards Compact and Efficient Ultrasound Foundation Models
by: Ma, Chen, et al.
Published: (2025)
by: Ma, Chen, et al.
Published: (2025)
Benchmarking Image Transformers for Prostate Cancer Detection from Ultrasound Data
by: Harmanani, Mohamed, et al.
Published: (2024)
by: Harmanani, Mohamed, et al.
Published: (2024)
Benchmarking Self-Supervised Models for Cardiac Ultrasound View Classification
by: Megahed, Youssef, et al.
Published: (2026)
by: Megahed, Youssef, et al.
Published: (2026)
Dual-Stream Attention Network for Hyperspectral Image Unmixing
by: Wang, Yufang, et al.
Published: (2024)
by: Wang, Yufang, et al.
Published: (2024)
Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study
by: Moradi, Ashkan, et al.
Published: (2025)
by: Moradi, Ashkan, et al.
Published: (2025)
Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection
by: Yuan, Dan, et al.
Published: (2025)
by: Yuan, Dan, et al.
Published: (2025)
Classification of Prostate Cancer in 3D Magnetic Resonance Imaging Data based on Convolutional Neural Networks
by: Rippa, Malte, et al.
Published: (2024)
by: Rippa, Malte, et al.
Published: (2024)
Morphological-consistent Diffusion Network for Ultrasound Coronal Image Enhancement
by: Zhou, Yihao, et al.
Published: (2024)
by: Zhou, Yihao, et al.
Published: (2024)
Cinepro: Robust Training of Foundation Models for Cancer Detection in Prostate Ultrasound Cineloops
by: Harmanani, Mohamed, et al.
Published: (2025)
by: Harmanani, Mohamed, et al.
Published: (2025)
Z-SSMNet: Zonal-aware Self-supervised Mesh Network for Prostate Cancer Detection and Diagnosis with Bi-parametric MRI
by: Yuan, Yuan, et al.
Published: (2022)
by: Yuan, Yuan, et al.
Published: (2022)
Attention-Map Augmentation for Hypercomplex Breast Cancer Classification
by: Lopez, Eleonora, et al.
Published: (2023)
by: Lopez, Eleonora, et al.
Published: (2023)
Prostate Cancer Screening with Artificial Intelligence-Enhanced Micro-Ultrasound: A Comparative Study with Traditional Methods
by: Imran, Muhammad, et al.
Published: (2025)
by: Imran, Muhammad, et al.
Published: (2025)
Hierarchical Attention and Parallel Filter Fusion Network for Multi-Source Data Classification
by: Luo, Han, et al.
Published: (2024)
by: Luo, Han, et al.
Published: (2024)
USFM: A Universal Ultrasound Foundation Model Generalized to Tasks and Organs towards Label Efficient Image Analysis
by: Jiao, Jing, et al.
Published: (2023)
by: Jiao, Jing, et al.
Published: (2023)
Texture Feature Analysis for Classification of Early-Stage Prostate Cancer in mpMRI
by: Muftah, Asmail, et al.
Published: (2024)
by: Muftah, Asmail, et al.
Published: (2024)
Similar Items
-
Towards Multi-modality Fusion and Prototype-based Feature Refinement for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound
by: Wu, Hong, et al.
Published: (2024) -
Multi-modality transrectal ultrasound video classification for identification of clinically significant prostate cancer
by: Wu, Hong, et al.
Published: (2024) -
Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound
by: Wang, Yi, et al.
Published: (2019) -
Prostate-Specific Foundation Models for Enhanced Detection of Clinically Significant Cancer
by: Lee, Jeong Hoon, et al.
Published: (2025) -
PCa-RadHop: A Transparent and Lightweight Feed-forward Method for Clinically Significant Prostate Cancer Segmentation
by: Magoulianitis, Vasileios, et al.
Published: (2024)