Image de couverture de livre

Registration-Enhanced Segmentation Method for Prostate Cancer in Ultrasound Images

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Sang, Shengtian, Jahanandish, Hassan, Li, Cynthia Xinran, Bhattachary, Indrani, Lee, Jeong Hoon, Zhang, Lichun, Vesal, Sulaiman, Ghanouni, Pejman, Fan, Richard, Sonn, Geoffrey A., Rusu, Mirabela
Format:	Preprint
Publié:	2025
Sujets:	Image and Video Processing Artificial Intelligence Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Multimodal MRI-Ultrasound AI for Prostate Cancer Detection Outperforms Radiologist MRI Interpretation: A Multi-Center Study
par: Jahanandish, Hassan, et autres
Publié: (2025)

Prostate-Specific Foundation Models for Enhanced Detection of Clinically Significant Cancer
par: Lee, Jeong Hoon, et autres
Publié: (2025)

Mask Enhanced Deeply Supervised Prostate Cancer Detection on B-mode Micro-Ultrasound
par: Zhang, Lichun, et autres
Publié: (2024)

BreastRegNet: A Deep Learning Framework for Registration of Breast Faxitron and Histopathology Images
par: Golestani, Negar, et autres
Publié: (2024)

Synthetic Skull CT Generation with Generative Adversarial Networks to Train Deep Learning Models for Clinical Transcranial Ultrasound
par: Naftchi-Ardebili, Kasra, et autres
Publié: (2023)

Promptable cancer segmentation using minimal expert-curated data
par: Karam, Lynn, et autres
Publié: (2025)

MR2US-Pro: Prostate MR to Ultrasound Image Translation and Registration Based on Diffusion Models
par: Ma, Xudong, et autres
Publié: (2025)

Deformable MRI Sequence Registration for AI-based Prostate Cancer Diagnosis
par: Hering, Alessa, et autres
Publié: (2024)

Ultrasound Image Segmentation of Thyroid Nodule via Latent Semantic Feature Co-Registration
par: Li, Xuewei, et autres
Publié: (2023)

ProMUS ‐ NET : Artificial intelligence detects more prostate cancer than urologists on micro‐ultrasonography
par: Steve R. Zhou, et autres
Publié: (2025)

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study
par: Moradi, Ashkan, et autres
Publié: (2025)

Prostate Capsule Segmentation from Micro-Ultrasound Images using Adaptive Focal Loss
par: Fatema, Kaniz, et autres
Publié: (2025)

Enabling Augmented Segmentation and Registration in Ultrasound-Guided Spinal Surgery via Realistic Ultrasound Synthesis from Diagnostic CT Volume
par: Li, Ang, et autres
Publié: (2023)

Hybrid-View Attention Network for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound
par: Feng, Zetian, et autres
Publié: (2025)

Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound
par: Wang, Yi, et autres
Publié: (2019)

PCa-RadHop: A Transparent and Lightweight Feed-forward Method for Clinically Significant Prostate Cancer Segmentation
par: Magoulianitis, Vasileios, et autres
Publié: (2024)

TRUSWorthy: Toward Clinically Applicable Deep Learning for Confident Detection of Prostate Cancer in Micro-Ultrasound
par: Harmanani, Mohamed, et autres
Publié: (2025)

Benchmarking Image Transformers for Prostate Cancer Detection from Ultrasound Data
par: Harmanani, Mohamed, et autres
Publié: (2024)

Do High-Performance Image-to-Image Translation Networks Enable the Discovery of Radiomic Features? Application to MRI Synthesis from Ultrasound in Prostate Cancer
par: Salmanpour, Mohammad R., et autres
Publié: (2024)

Cinepro: Robust Training of Foundation Models for Cancer Detection in Prostate Ultrasound Cineloops
par: Harmanani, Mohamed, et autres
Publié: (2025)

Automatic Prostate Volume Estimation in Transabdominal Ultrasound Images
par: Natali, Tiziano, et autres
Publié: (2025)

From Registration Uncertainty to Segmentation Uncertainty
par: Chen, Junyu, et autres
Publié: (2024)

AAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound Images
par: Chen, Gongping, et autres
Publié: (2022)

Towards Multi-modality Fusion and Prototype-based Feature Refinement for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound
par: Wu, Hong, et autres
Publié: (2024)

Prostate Cancer Screening with Artificial Intelligence-Enhanced Micro-Ultrasound: A Comparative Study with Traditional Methods
par: Imran, Muhammad, et autres
Publié: (2025)

MicroSegNet: A Deep Learning Approach for Prostate Segmentation on Micro-Ultrasound Images
par: Jiang, Hongxu, et autres
Publié: (2023)

GUSL: A Novel and Efficient Machine Learning Model for Prostate Segmentation on MRI
par: Yang, Jiaxin, et autres
Publié: (2025)

Cancer-Net PCa-Seg: Benchmarking Deep Learning Models for Prostate Cancer Segmentation Using Synthetic Correlated Diffusion Imaging
par: Dewbury, Jarett, et autres
Publié: (2025)

A Narrative Review of Image Processing Techniques Related to Prostate Ultrasound
par: Wang, Haiqiao, et autres
Publié: (2024)

PSHop: A Lightweight Feed-Forward Method for 3D Prostate Gland Segmentation
par: Yang, Yijing, et autres
Publié: (2024)

Epicardium Prompt-guided Real-time Cardiac Ultrasound Frame-to-volume Registration
par: Lei, Long, et autres
Publié: (2024)

MyGO: Make your Goals Obvious, Avoiding Semantic Confusion in Prostate Cancer Lesion Region Segmentation
par: Lin, Zhengcheng, et autres
Publié: (2025)

Towards a Benchmark for Colorectal Cancer Segmentation in Endorectal Ultrasound Videos: Dataset and Model Development
par: Jiang, Yuncheng, et autres
Publié: (2024)

Leveraging Information Divergence for Robust Semi-Supervised Fetal Ultrasound Image Segmentation
par: Wang, Fangyijie, et autres
Publié: (2025)

Deep Regression 2D-3D Ultrasound Registration for Liver Motion Correction in Focal Tumor Thermal Ablation
par: Xing, Shuwei, et autres
Publié: (2024)

Comparative Analysis of Hand-Crafted and Machine-Driven Histopathological Features for Prostate Cancer Classification and Segmentation
par: Baqain, Feda Bolus Al, et autres
Publié: (2025)

Co-Learning Semantic-aware Unsupervised Segmentation for Pathological Image Registration
par: Liu, Yang, et autres
Publié: (2023)

Ultrasound SAM Adapter: Adapting SAM for Breast Lesion Segmentation in Ultrasound Images
par: Tu, Zhengzheng, et autres
Publié: (2024)

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer
par: Qi, Xuyin, et autres
Publié: (2025)

Coarse-to-Fine Joint Registration of MR and Ultrasound Images via Imaging Style Transfer
par: Wang, Junyi, et autres
Publié: (2025)