Cover Image

Towards Multi-modality Fusion and Prototype-based Feature Refinement for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Hong, Fu, Juan, Ye, Hongsheng, Zhong, Yuming, Zou, Xuebin, Zhou, Jianhua, Wang, Yi
Format:	Preprint
Published:	2024
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hybrid-View Attention Network for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound
by: Feng, Zetian, et al.
Published: (2025)

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)

PCa-RadHop: A Transparent and Lightweight Feed-forward Method for Clinically Significant Prostate Cancer Segmentation
by: Magoulianitis, Vasileios, et al.
Published: (2024)

Exploring Kinetic Curves Features for the Classification of Benign and Malignant Breast Lesions in DCE-MRI
by: Li, Zixian, et al.
Published: (2024)

Prostate-Specific Foundation Models for Enhanced Detection of Clinically Significant Cancer
by: Lee, Jeong Hoon, et al.
Published: (2025)

TRUSWorthy: Toward Clinically Applicable Deep Learning for Confident Detection of Prostate Cancer in Micro-Ultrasound
by: Harmanani, Mohamed, et al.
Published: (2025)

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)

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)

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)

TinyUSFM: Towards Compact and Efficient Ultrasound Foundation Models
by: Ma, Chen, 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)

A Narrative Review of Image Processing Techniques Related to Prostate Ultrasound
by: Wang, Haiqiao, et al.
Published: (2024)

FECT: Classification of Breast Cancer Pathological Images Based on Fusion Features
by: Hao, Jiacheng, et al.
Published: (2025)

Clinically-aligned Multi-modal Chest X-ray Classification
by: Sloan, Phillip, et al.
Published: (2025)

Texture Feature Analysis for Classification of Early-Stage Prostate Cancer in mpMRI
by: Muftah, Asmail, et al.
Published: (2024)

Defining Robust Ultrasound Quality Metrics via an Ultrasound Foundation Model
by: Huang, Ziyang, et al.
Published: (2026)

Registration-Enhanced Segmentation Method for Prostate Cancer in Ultrasound Images
by: Sang, Shengtian, et al.
Published: (2025)

Multimodal Fusion of Skeleton Dynamics and Clinical Gait Features for Video-Based Cerebral Palsy Severity Assessment
by: Yang, Kaiyuan, et al.
Published: (2026)

MSFMamba: Multi-Scale Feature Fusion State Space Model for Multi-Source Remote Sensing Image Classification
by: Gao, Feng, et al.
Published: (2024)

Classification of Mitral Regurgitation from Cardiac Cine MRI using Clinically-Interpretable Morphological Features
by: On, Y., et al.
Published: (2024)

Multi-modal Medical Image Fusion For Non-Small Cell Lung Cancer Classification
by: Hassan, Salma, et al.
Published: (2024)

Asymmetric Feature Fusion for Image Retrieval
by: Wu, Hui, et al.
Published: (2024)

GADA: Graph Attention-based Detection Aggregation for Ultrasound Video Classification
by: Chen, Li, et al.
Published: (2025)

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study
by: Moradi, Ashkan, et al.
Published: (2025)

Automatic Prostate Volume Estimation in Transabdominal Ultrasound Images
by: Natali, Tiziano, et al.
Published: (2025)

Hybrid Deep Learning and Handcrafted Feature Fusion for Mammographic Breast Cancer Classification
by: Tschuchnig, Maximilian, et al.
Published: (2025)

Unified Ultrasound Intelligence Toward an End-to-End Agentic System
by: Ma, Chen, et al.
Published: (2026)

Domain Transfer Through Image-to-Image Translation for Uncertainty-Aware Prostate Cancer Classification
by: Zhou, Meng, et al.
Published: (2023)

Adaptive Prototype Learning for Multimodal Cancer Survival Analysis
by: Liu, Hong, et al.
Published: (2025)

Adaptive Multi-modal Fusion of Spatially Variant Kernel Refinement with Diffusion Model for Blind Image Super-Resolution
by: Lin, Junxiong, et al.
Published: (2024)

Mask Enhanced Deeply Supervised Prostate Cancer Detection on B-mode Micro-Ultrasound
by: Zhang, Lichun, et al.
Published: (2024)

A Multimodal Approach for Fluid Overload Prediction: Integrating Lung Ultrasound and Clinical Data
by: Yang, Tianqi, et al.
Published: (2024)

DBF-Net: A Dual-Branch Network with Feature Fusion for Ultrasound Image Segmentation
by: Xu, Guoping, et al.
Published: (2024)

Comparative Analysis of Hand-Crafted and Machine-Driven Histopathological Features for Prostate Cancer Classification and Segmentation
by: Baqain, Feda Bolus Al, et al.
Published: (2025)

Benchmarking Image Transformers for Prostate Cancer Detection from Ultrasound Data
by: Harmanani, Mohamed, et al.
Published: (2024)

Generative Diffusion Model Bootstraps Zero-shot Classification of Fetal Ultrasound Images In Underrepresented African Populations
by: Wang, Fangyijie, et al.
Published: (2024)

Precision Spatio-Temporal Feature Fusion for Robust Remote Sensing Change Detection
by: Wijenayake, Buddhi, et al.
Published: (2025)

A Wavelet Guided Attention Module for Skin Cancer Classification with Gradient-based Feature Fusion
by: Roy, Ayush, et al.
Published: (2024)

Radiomics and Clinical Features in Predictive Modelling of Brain Metastases Recurrence
by: Faria, Ines, et al.
Published: (2025)