Cover Image

Stable Diffusion Segmentation for Biomedical Images with Single-step Reverse Process

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lin, Tianyu, Chen, Zhiguang, Yan, Zhonghao, Yu, Weijiang, Zheng, Fudan
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Image and Video Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Single-step Diffusion for Image Compression at Ultra-Low Bitrates
by: Park, Chanung, et al.
Published: (2025)

QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge
by: Li, Hongwei Bran, et al.
Published: (2024)

StableCodec: Taming One-Step Diffusion for Extreme Image Compression
by: Zhang, Tianyu, et al.
Published: (2025)

Diffusion-based Data Augmentation for Nuclei Image Segmentation
by: Yu, Xinyi, et al.
Published: (2023)

Rethinking U-net Skip Connections for Biomedical Image Segmentation
by: Wilm, Frauke, et al.
Published: (2024)

Step-Calibrated Diffusion for Biomedical Optical Image Restoration
by: Lyu, Yiwei, et al.
Published: (2024)

Scribble-Based Interactive Segmentation of Medical Hyperspectral Images
by: Wang, Zhonghao, et al.
Published: (2024)

ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image
by: Wong, Hallee E., et al.
Published: (2023)

Utilizing Multi-step Loss for Single Image Reflection Removal
by: Elnenaey, Abdelrahman, et al.
Published: (2024)

FAN-Unet: Enhancing Unet with vision Fourier Analysis Block for Biomedical Image Segmentation
by: Xu, Jiashu
Published: (2024)

ZID-Net: Zero-Inference Diffusion Prior Decoupling Network for Single Image Dehazing
by: Li, Xinheng, et al.
Published: (2026)

An Automated Real-Time Approach for Image Processing and Segmentation of Fluoroscopic Images and Videos Using a Single Deep Learning Network
by: Nguyen, Viet Dung, et al.
Published: (2024)

Diffusion Attack: Leveraging Stable Diffusion for Naturalistic Image Attacking
by: Guo, Qianyu, et al.
Published: (2024)

3D Magnetic Inverse Routine for Single-Segment Magnetic Field Images
by: Senthilnath, J., et al.
Published: (2025)

Dual-Alignment Knowledge Retention for Continual Medical Image Segmentation
by: Ye, Yuxin, et al.
Published: (2025)

Diff4MMLiTS: Advanced Multimodal Liver Tumor Segmentation via Diffusion-Based Image Synthesis and Alignment
by: Chen, Shiyun, et al.
Published: (2024)

A System for Accurate Tracking and Video Recordings of Rodent Eye Movements using Convolutional Neural Networks for Biomedical Image Segmentation
by: Puri, Isha, et al.
Published: (2025)

MultiTaskDeltaNet: Change Detection-based Image Segmentation for Operando ETEM with Application to Carbon Gasification Kinetics
by: Niu, Yushuo, et al.
Published: (2025)

Stable Diffusion is a Natural Cross-Modal Decoder for Layered AI-generated Image Compression
by: Chen, Ruijie, et al.
Published: (2024)

Interpretable Embeddings for Segmentation-Free Single-Cell Analysis in Multiplex Imaging
by: Gutwein, Simon, et al.
Published: (2024)

Ultrasound Image-to-Video Synthesis via Latent Dynamic Diffusion Models
by: Chen, Tingxiu, et al.
Published: (2025)

MM-UNet: Meta Mamba UNet for Medical Image Segmentation
by: Xie, Bin, et al.
Published: (2025)

Multi-Disease-Aware Training Strategy for Cardiac MR Image Segmentation
by: Zheng, Hong, et al.
Published: (2025)

IDF-CR: Iterative Diffusion Process for Divide-and-Conquer Cloud Removal in Remote-sensing Images
by: Wang, Meilin, et al.
Published: (2024)

Adaptive Frequency Enhancement Network for Single Image Deraining
by: Yan, Fei, et al.
Published: (2024)

SliceMamba with Neural Architecture Search for Medical Image Segmentation
by: Fan, Chao, et al.
Published: (2024)

Uncertainty Quantification using Variational Inference for Biomedical Image Segmentation
by: Sagar, Abhinav
Published: (2020)

Brain Imaging Foundation Models, Are We There Yet? A Systematic Review of Foundation Models for Brain Imaging and Biomedical Research
by: Ghamizi, Salah, et al.
Published: (2025)

Prior-guided Diffusion Model for Cell Segmentation in Quantitative Phase Imaging
by: Shao, Zhuchen, et al.
Published: (2024)

Segment Anything in Medical Images
by: Ma, Jun, et al.
Published: (2023)

Denoising Diffusion Post-Processing for Low-Light Image Enhancement
by: Panagiotou, Savvas, et al.
Published: (2023)

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

Test Time Training for 4D Medical Image Interpolation
by: Zhang, Qikang, et al.
Published: (2025)

Diffusion-based Virtual Staining from Polarimetric Mueller Matrix Imaging
by: Zheng, Xiaoyu, et al.
Published: (2025)

Enhancing Label-efficient Medical Image Segmentation with Text-guided Diffusion Models
by: Feng, Chun-Mei
Published: (2024)

Clinical-Injection Transformer with Domain-Adapted MAE for Lupus Nephritis Prognosis Prediction
by: Huang, Yuewen, et al.
Published: (2026)

Biomedical Image Segmentation: A Systematic Literature Review of Deep Learning Based Object Detection Methods
by: Wahid, Fazli, et al.
Published: (2024)

CT Synthesis with Conditional Diffusion Models for Abdominal Lymph Node Segmentation
by: Yu, Yongrui, et al.
Published: (2024)

YODA: Yet Another One-step Diffusion-based Video Compressor
by: Li, Xingchen, et al.
Published: (2026)

U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation
by: Ma, Jun, et al.
Published: (2024)