Cover Image

QuantU-Net: Efficient Wearable Medical Imaging Using Bitwidth as a Trainable Parameter

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Boerkamp, Christiaan, Thomas, Akhil John
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enhanced DeepLab Based Nerve Segmentation with Optimized Tuning
by: Thomas, Akhil John, et al.
Published: (2025)

PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation
by: Saadi, Nada, et al.
Published: (2024)

LUCF-Net: Lightweight U-shaped Cascade Fusion Network for Medical Image Segmentation
by: Sun, Songkai, et al.
Published: (2024)

Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation
by: Cheng, Chun-Wun, et al.
Published: (2025)

PL-Net: Progressive Learning Network for Medical Image Segmentation
by: Mao, Kunpeng, et al.
Published: (2021)

CCESAR: Coastline Classification-Extraction From SAR Images Using CNN-U-Net Combination
by: Arora, Vidhu, et al.
Published: (2025)

ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images
by: Liu, Chen, et al.
Published: (2024)

MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation
by: Roy, Saikat, et al.
Published: (2023)

Rethinking the Unpretentious U-net for Medical Ultrasound Image Segmentation
by: Chen, Gongping, et al.
Published: (2022)

U-NetMN and SegNetMN: Modified U-Net and SegNet models for bimodal SAR image segmentation
by: Kzadri, Marwane, et al.
Published: (2025)

GCtx-UNet: Efficient Network for Medical Image Segmentation
by: Alrfou, Khaled, et al.
Published: (2024)

DA-TransUNet: Integrating Spatial and Channel Dual Attention with Transformer U-Net for Medical Image Segmentation
by: Sun, Guanqun, et al.
Published: (2023)

A Comparative Study of U-Net Architectures for Change Detection in Satellite Images
by: Amin, Yaxita, et al.
Published: (2025)

Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net
by: Zhang, Jiazhen, et al.
Published: (2025)

FireGNN: Neuro-Symbolic Graph Neural Networks with Trainable Fuzzy Rules for Interpretable Medical Image Classification
by: Sengupta, Prajit, et al.
Published: (2025)

Evaluate Fine-tuning Strategies for Fetal Head Ultrasound Image Segmentation with U-Net
by: Wang, Fangyijie, et al.
Published: (2023)

U-Net in Medical Image Segmentation: A Review of Its Applications Across Modalities
by: Neha, Fnu, et al.
Published: (2024)

Comparative Analysis of Segment Anything Model and U-Net for Breast Tumor Detection in Ultrasound and Mammography Images
by: Ahmadi, Mohsen, et al.
Published: (2023)

Data-Driven Filter Design in FBP: Transforming CT Reconstruction with Trainable Fourier Series
by: Sun, Yipeng, et al.
Published: (2024)

Integrating Edges into U-Net Models with Explainable Activation Maps for Brain Tumor Segmentation using MR Images
by: Sahayam, Subin, et al.
Published: (2024)

Towards Reliable Pediatric Brain Tumor Segmentation: Task-Specific nnU-Net Enhancements
by: Li, Xiaolong, et al.
Published: (2025)

A Unified Framework for U-Net Design and Analysis
by: Williams, Christopher, et al.
Published: (2023)

Medical Image Segmentation Using Advanced Unet: VMSE-Unet and VM-Unet CBAM+
by: Kanrar, Sayandeep, et al.
Published: (2025)

Evaluating Utility of Memory Efficient Medical Image Generation: A Study on Lung Nodule Segmentation
by: Khadra, Kathrin, et al.
Published: (2024)

LHU-Net: a Lean Hybrid U-Net for Cost-efficient, High-performance Volumetric Segmentation
by: Sadegheih, Yousef, et al.
Published: (2024)

RMAU-NET: A Residual-Multihead-Attention U-Net Architecture for Landslide Segmentation and Detection from Remote Sensing Images
by: Pham, Lam, et al.
Published: (2025)

Resource Constrained U-Net for Extraction of Retinal Vascular Trees
by: Kiselev, Georgiy
Published: (2024)

Enhancing Network Initialization for Medical AI Models Using Large-Scale, Unlabeled Natural Images
by: Arasteh, Soroosh Tayebi, et al.
Published: (2023)

ColonNet: A Hybrid Of DenseNet121 And U-NET Model For Detection And Segmentation Of GI Bleeding
by: Singh, Ayushman, et al.
Published: (2024)

U-Net v2: Rethinking the Skip Connections of U-Net for Medical Image Segmentation
by: Peng, Yaopeng, et al.
Published: (2023)

Segment Anything Model for Medical Images?
by: Huang, Yuhao, et al.
Published: (2023)

Shortcut Learning in Medical Image Segmentation
by: Lin, Manxi, et al.
Published: (2024)

Supervision by Denoising for Medical Image Segmentation
by: Young, Sean I., et al.
Published: (2022)

A Probabilistic Hadamard U-Net for MRI Bias Field Correction
by: Zhu, Xin, et al.
Published: (2024)

UGGNet: Bridging U-Net and VGG for Advanced Breast Cancer Diagnosis
by: Minh, Tran Cao, et al.
Published: (2024)

V-EfficientNets: Vector-Valued Efficiently Scaled Convolutional Neural Network Models
by: Neto, Guilherme Vieira, et al.
Published: (2025)

A Comparative Analysis of U-Net-based models for Segmentation of Cardiac MRI
by: Saichandran, Ketan Suhaas
Published: (2024)

Rethinking Perceptual Metrics for Medical Image Translation
by: Konz, Nicholas, et al.
Published: (2024)

Rethinking Transfer Learning for Medical Image Classification
by: Peng, Le, et al.
Published: (2021)

Dual Cross-Attention for Medical Image Segmentation
by: Ates, Gorkem Can, et al.
Published: (2023)