:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Sebia, Hana, Guyet, Thomas, Pereira, Mickaël, Valdebenito, Marco, Berry, Hugues, Vidal, Benjamin
Format:	Preprint
Published:	2024
Subjects:	Image and Video Processing Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2410.22365
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Self-supervised Deep Learning for Denoising in Ultrasound Microvascular Imaging
by: Huang, Lijie, et al.
Published: (2025)

Ultrasound SAM Adapter: Adapting SAM for Breast Lesion Segmentation in Ultrasound Images
by: Tu, Zhengzheng, et al.
Published: (2024)

Prostate Capsule Segmentation from Micro-Ultrasound Images using Adaptive Focal Loss
by: Fatema, Kaniz, et al.
Published: (2025)

Biologically Inspired Deep Learning Approaches for Fetal Ultrasound Image Classification
by: Prochii, Rinat, et al.
Published: (2025)

External Validation of Deep Learning Models for BI-RADS Breast Density Prediction from Ultrasound Images
by: Chen, Yuxuan, et al.
Published: (2026)

Segmentation of Retinal Low-Cost Optical Coherence Tomography Images using Deep Learning
by: Kepp, Timo, et al.
Published: (2020)

SAS: Segment Anything Small for Ultrasound -- A Non-Generative Data Augmentation Technique for Robust Deep Learning in Ultrasound Imaging
by: Ferreira, Danielle L., et al.
Published: (2025)

Uncertainty Modeling in Ultrasound Image Segmentation for Precise Fetal Biometric Measurements
by: Lei, Shuge
Published: (2024)

Towards Trustworthy Breast Tumor Segmentation in Ultrasound using Monte Carlo Dropout and Deep Ensembles for Epistemic Uncertainty Estimation
by: Musah, Toufiq, et al.
Published: (2025)

Gaze-Assisted Human-Centric Domain Adaptation for Cardiac Ultrasound Image Segmentation
by: Li, Ruiyi, et al.
Published: (2025)

CP-UNet: Contour-based Probabilistic Model for Medical Ultrasound Images Segmentation
by: Yu, Ruiguo, et al.
Published: (2024)

Force Sensing Guided Artery-Vein Segmentation via Sequential Ultrasound Images
by: Geng, Yimeng, et al.
Published: (2024)

EUIS-Net: A Convolutional Neural Network for Efficient Ultrasound Image Segmentation
by: Iqbal, Shahzaib, et al.
Published: (2024)

Deep Learning Analysis of Prenatal Ultrasound for Identification of Ventriculomegaly
by: Megahed, Youssef, et al.
Published: (2025)

Deep Learning for Segmentation of Cracks in High-Resolution Images of Steel Bridges
by: Kompanets, Andrii, et al.
Published: (2024)

Rethinking Boundary Detection in Deep Learning-Based Medical Image Segmentation
by: Lin, Yi, et al.
Published: (2025)

Deep Learning-Based Brain Image Segmentation for Automated Tumour Detection
by: Sourabh, Suman, et al.
Published: (2024)

DeepSPV: A Deep Learning Pipeline for 3D Spleen Volume Estimation from 2D Ultrasound Images
by: Yuan, Zhen, et al.
Published: (2024)

One-Stop Automated Diagnostic System for Carpal Tunnel Syndrome in Ultrasound Images Using Deep Learning
by: Peng, Jiayu, et al.
Published: (2024)

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

Ultrasound Image Segmentation of Thyroid Nodule via Latent Semantic Feature Co-Registration
by: Li, Xuewei, et al.
Published: (2023)

Modifying the U-Net's Encoder-Decoder Architecture for Segmentation of Tumors in Breast Ultrasound Images
by: Derakhshandeh, Sina, et al.
Published: (2024)

Automatic 3D Multi-modal Ultrasound Segmentation of Human Placenta using Fusion Strategies and Deep Learning
by: Singh, Sonit, et al.
Published: (2024)

Dr-SAM: An End-to-End Framework for Vascular Segmentation, Diameter Estimation, and Anomaly Detection on Angiography Images
by: Zohranyan, Vazgen, et al.
Published: (2024)

L-FUSION: Laplacian Fetal Ultrasound Segmentation & Uncertainty Estimation
by: Müller, Johanna P., et al.
Published: (2025)

The Effect of Lossy Compression on 3D Medical Images Segmentation with Deep Learning
by: Kurmukov, Anvar, et al.
Published: (2024)

Deep Learning Predicts Mammographic Breast Density in Clinical Breast Ultrasound Images
by: Bunnell, Arianna, et al.
Published: (2024)

Benchmarking of Deep Learning Methods for Generic MRI Multi-Organ Abdominal Segmentation
by: Krishnaswamy, Deepa, et al.
Published: (2025)

Ultrasound Image Enhancement using CycleGAN and Perceptual Loss
by: Athreya, Shreeram, et al.
Published: (2023)

Comprehensive Review of Reinforcement Learning for Medical Ultrasound Imaging
by: Elmekki, Hanae, et al.
Published: (2025)

DVasMesh: Deep Structured Mesh Reconstruction from Vascular Images for Dynamics Modeling of Vessels
by: Jia, Dengqiang, et al.
Published: (2024)

CMU-Net: A Strong ConvMixer-based Medical Ultrasound Image Segmentation Network
by: Tang, Fenghe, et al.
Published: (2022)

PSFHS Challenge Report: Pubic Symphysis and Fetal Head Segmentation from Intrapartum Ultrasound Images
by: Bai, Jieyun, et al.
Published: (2024)

Fusing Physics-Driven Strategies and Cross-Modal Adversarial Learning: Toward Multi-Domain Applications
by: Satou, Hana, et al.
Published: (2024)

Detection of Vascular Leukoencephalopathy in CT Images
by: Cernekova, Z., et al.
Published: (2025)

Evaluation of Extra Pixel Interpolation with Mask Processing for Medical Image Segmentation with Deep Learning
by: Rukundo, Olivier
Published: (2023)

Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images
by: Wang, Fangyijie, et al.
Published: (2025)

UltraSam: A Foundation Model for Ultrasound using Large Open-Access Segmentation Datasets
by: Meyer, Adrien, et al.
Published: (2024)

Deep Learning Segmentation of Ascites on Abdominal CT Scans for Automatic Volume Quantification
by: Hou, Benjamin, et al.
Published: (2024)

Enhancing Retinal Vascular Structure Segmentation in Images With a Novel Design Two-Path Interactive Fusion Module Model
by: Yang, Rui, et al.
Published: (2024)