Cover Image

Policy to Assist Iteratively Local Segmentation: Optimising Modality and Location Selection for Prostate Cancer Localisation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Xiangcen, Saeed, Shaheer U., Wang, Yipei, Coll, Ester Bonmati, Hu, Yipeng
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AI-assisted prostate cancer detection and localisation on biparametric MR by classifying radiologist-positives
by: Wu, Xiangcen, et al.
Published: (2024)

SPARS: Self-Play Adversarial Reinforcement Learning for Segmentation of Liver Tumours
by: Tan, Catalina, et al.
Published: (2025)

Maximizing T2-Only Prostate Cancer Localization from Expected Diffusion Weighted Imaging
by: Yi, Weixi, et al.
Published: (2026)

T2-Only Prostate Cancer Prediction by Meta-Learning from Bi-Parametric MR Imaging
by: Yi, Weixi, et al.
Published: (2024)

Promptable cancer segmentation using minimal expert-curated data
by: Karam, Lynn, et al.
Published: (2025)

Cryo-RL: automating prostate cancer cryoablation planning with reinforcement learning
by: Simangan, Trixia, et al.
Published: (2025)

Reasoning in machine vision: learning to think fast and slow
by: Saeed, Shaheer U., et al.
Published: (2025)

Segmentation by registration-enabled SAM prompt engineering using five reference images
by: Chen, Yaxi, et al.
Published: (2024)

Retrieving Patient-Specific Radiomic Feature Sets for Transparent Knee MRI Assessment
by: Chen, Yaxi, et al.
Published: (2026)

Deep EM with Hierarchical Latent Label Modelling for Multi-Site Prostate Lesion Segmentation
by: Yan, Wen, et al.
Published: (2026)

Combiner and HyperCombiner Networks: Rules to Combine Multimodality MR Images for Prostate Cancer Localisation
by: Yan, Wen, et al.
Published: (2023)

Competing for pixels: a self-play algorithm for weakly-supervised segmentation
by: Saeed, Shaheer U., et al.
Published: (2024)

Radiomics-Integrated Deep Learning with Hierarchical Loss for Osteosarcoma Histology Classification
by: Chen, Yaxi, et al.
Published: (2026)

Radiomic fingerprints for knee MR images assessment
by: Chen, Yaxi, et al.
Published: (2025)

Weakly supervised localisation of prostate cancer using reinforcement learning for bi-parametric MR images
by: Pocius, Martynas, et al.
Published: (2024)

Patient-specific radiomic feature selection with reconstructed healthy persona of knee MR images
by: Chen, Yaxi, et al.
Published: (2025)

Automated Prostate Gland Segmentation in MRI Using nnU-Net
by: Rodriguez-Belenguer, Pablo, et al.
Published: (2026)

Understanding the Transfer Limits of Vision Foundation Models
by: Huang, Shiqi, et al.
Published: (2026)

Promptable segmentation with region exploration enables minimal-effort expert-level prostate cancer delineation
by: Yang, Junqing, et al.
Published: (2026)

SAMReg: SAM-enabled Image Registration with ROI-based Correspondence
by: Huang, Shiqi, et al.
Published: (2024)

One registration is worth two segmentations
by: Huang, Shiqi, et al.
Published: (2024)

Biomechanics-informed Non-rigid Medical Image Registration and its Inverse Material Property Estimation with Linear and Nonlinear Elasticity
by: Min, Zhe, et al.
Published: (2024)

Anomaly-Driven Approach for Enhanced Prostate Cancer Segmentation
by: Hu, Alessia, et al.
Published: (2025)

Interpretability and Individuality in Knee MRI: Patient-Specific Radiomic Fingerprint with Reconstructed Healthy Personas
by: Chen, Yaxi, et al.
Published: (2026)

ProFound: A moderate-sized vision foundation model for multi-task prostate imaging
by: Wang, Yipei, et al.
Published: (2026)

Learning to learn skill assessment for fetal ultrasound scanning
by: Wang, Yipei, et al.
Published: (2025)

Artificial Intelligence-Assisted Prostate Cancer Diagnosis for Reduced Use of Immunohistochemistry
by: Blilie, Anders, et al.
Published: (2025)

MAGIC++: Efficient and Resilient Modality-Agnostic Semantic Segmentation via Hierarchical Modality Selection
by: Zheng, Xu, et al.
Published: (2024)

Analysis of Image-and-Text Uncertainty Propagation in Multimodal Large Language Models with Cardiac MR-Based Applications
by: Tang, Yucheng, et al.
Published: (2025)

Location-based Radiology Report-Guided Semi-supervised Learning for Prostate Cancer Detection
by: Chen, Alex, et al.
Published: (2024)

Architecture-Agnostic Modality-Isolated Gated Fusion for Robust Multi-Modal Prostate MRI Segmentation
by: Shu, Yongbo, et al.
Published: (2026)

Semi-weakly-supervised neural network training for medical image registration
by: Li, Yiwen, et al.
Published: (2024)

AIR-HLoc: Adaptive Retrieved Images Selection for Efficient Visual Localisation
by: Liu, Changkun, et al.
Published: (2024)

Cancer-Net PCa-MultiSeg: Multimodal Enhancement of Prostate Cancer Lesion Segmentation Using Synthetic Correlated Diffusion Imaging
by: Dewbury, Jarett, et al.
Published: (2025)

Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model
by: Huang, Shiqi, et al.
Published: (2025)

Self-Supervised Ultrasound-Video Segmentation with Feature Prediction and 3D Localised Loss
by: Ellis, Edward, et al.
Published: (2025)

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

Segmentation Strategies in Deep Learning for Prostate Cancer Diagnosis: A Comparative Study of Mamba, SAM, and YOLO
by: Badiezadeh, Ali, et al.
Published: (2024)

Rad-VLSM: A Cross-Modal Framework with Semantics-Assisted Prompting for Medical Segmentation and Diagnosis
by: Zhang, Fengyi, et al.
Published: (2026)

Efficient Parameter Adaptation for Multi-Modal Medical Image Segmentation and Prognosis
by: Saeed, Numan, et al.
Published: (2025)