Image de couverture de livre

AI-based Automatic Segmentation of Prostate on Multi-modality Images: A Review

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Jin, Rui, Li, Derun, Xiang, Dehui, Zhang, Lei, Zhou, Hailing, Shi, Fei, Zhu, Weifang, Cai, Jing, Peng, Tao, Chen, Xinjian
Format:	Preprint
Publié:	2024
Sujets:	Image and Video Processing Computer Vision and Pattern Recognition Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A Composite Alignment-Aware Framework for Myocardial Lesion Segmentation in Multi-sequence CMR Images
par: Gao, Yifan, et autres
Publié: (2025)

CompSRT: Quantization and Pruning for Image Super Resolution Transformers
par: Zeinali, Dorsa, et autres
Publié: (2026)

Imbalance Knowledge-Driven Multi-modal Network for Land-Cover Semantic Segmentation Using Images and LiDAR Point Clouds
par: Wang, Yameng, et autres
Publié: (2023)

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

Multi-modal Uncertainty Robust Tree Cover Segmentation For High-Resolution Remote Sensing Images
par: Gui, Yuanyuan, et autres
Publié: (2025)

Prompt-based Multimodal Semantic Communication for Multi-spectral Image Segmentation
par: Zhang, Haoshuo, et autres
Publié: (2025)

Synchronous Multi-modal Semantic Communication System with Packet-level Coding
par: Tian, Yun, et autres
Publié: (2024)

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

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

Fed-MUnet: Multi-modal Federated Unet for Brain Tumor Segmentation
par: Zhou, Ruojun, et autres
Publié: (2024)

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

Unrolling Plug-and-Play Gradient Graph Laplacian Regularizer for Image Restoration
par: Cai, Jianghe, et autres
Publié: (2024)

Two-Stage nnU-Net for Automatic Multi-class Bi-Atrial Segmentation from LGE-MRIs
par: On, Y., et autres
Publié: (2025)

RFI Removal from SAR Imagery via Sparse Parametric Estimation of LFM Interferences
par: Yang, Dehui, et autres
Publié: (2025)

Multi-modal Liver Segmentation and Fibrosis Staging Using Real-world MRI Images
par: Zhou, Yang, et autres
Publié: (2025)

Semantic-guided Masked Mutual Learning for Multi-modal Brain Tumor Segmentation with Arbitrary Missing Modalities
par: Liang, Guoyan, et autres
Publié: (2025)

CSWin-UNet: Transformer UNet with Cross-Shaped Windows for Medical Image Segmentation
par: Liu, Xiao, et autres
Publié: (2024)

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

RMFA-Net: A Neural ISP for Real RAW to RGB Image Reconstruction
par: Li, Fei, et autres
Publié: (2024)

Systematic Review of Pituitary Gland and Pituitary Adenoma Automatic Segmentation Techniques in Magnetic Resonance Imaging
par: Yakubu, Mubaraq, et autres
Publié: (2025)

RATNUS: Rapid, Automatic Thalamic Nuclei Segmentation using Multimodal MRI inputs
par: Feng, Anqi, et autres
Publié: (2024)

Keep the Core: Adversarial Priors for Significance-Preserving Brain MRI Segmentation
par: Zhang, Feifei, et autres
Publié: (2025)

A H.265/HEVC Fine-Grained ROI Video Encryption Algorithm Based on Coding Unit and Prompt Segmentation
par: Zhang, Xiang, et autres
Publié: (2026)

Optimizing Prompt Strategies for SAM: Advancing lesion Segmentation Across Diverse Medical Imaging Modalities
par: Wang, Yuli, et autres
Publié: (2024)

PMR-Net: Parallel Multi-Resolution Encoder-Decoder Network Framework for Medical Image Segmentation
par: Du, Xiaogang, et autres
Publié: (2024)

Unsupervised Learning of Multi-modal Affine Registration for PET/CT
par: Chen, Junyu, et autres
Publié: (2024)

Correlation Ratio for Unsupervised Learning of Multi-modal Deformable Registration
par: Chen, Xiaojian, et autres
Publié: (2025)

Semantics Guided Disentangled GAN for Chest X-ray Image Rib Segmentation
par: Huang, Lili, et autres
Publié: (2024)

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

Automatic 3D Multi-modal Ultrasound Segmentation of Human Placenta using Fusion Strategies and Deep Learning
par: Singh, Sonit, et autres
Publié: (2024)

LiNUS: Lightweight Automatic Segmentation of Deep Brain Nuclei for Real-Time DBS Surgery
par: Zhang, Shuo, et autres
Publié: (2026)

USEANet: Ultrasound-Specific Edge-Aware Multi-Branch Network for Lightweight Medical Image Segmentation
par: Gao, Jingyi, et autres
Publié: (2025)

FEFormer: Frequency-enhanced Vision Transformer for Generic Knowledge Extraction and Adaptive Feature Fusion in Volumetric Medical Image Segmentation
par: Yang, Jin, et autres
Publié: (2026)

TransLK-Net: Entangling Transformer and Large Kernel for Progressive and Collaborative Feature Encoding and Decoding in Medical Image Segmentation
par: Yang, Jin, et autres
Publié: (2025)

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

Segmentation of Prostate Tumour Volumes from PET Images is a Different Ball Game
par: Bhandary, Shrajan, et autres
Publié: (2024)

Automatic Multi-Class Cardiovascular Magnetic Resonance Image Quality Assessment using Unsupervised Domain Adaptation in Spatial and Frequency Domains
par: Nabavi, Shahabedin, et autres
Publié: (2021)

DeepBayesFlow: A Bayesian Structured Variational Framework for Generalizable Prostate Segmentation via Expressive Posteriors and SDE-Girsanov Uncertainty Modeling
par: Fang, Zhuoyi
Publié: (2026)

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)

MS-Twins: Multi-Scale Deep Self-Attention Networks for Medical Image Segmentation
par: Xu, Jing
Publié: (2023)