Deep Learning Method to Predict Wound Healing Progress Based on Collagen Fibers in Wound Tissue
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | He, Juan, Wang, Xiaoyan, Chen, Long, Cai, Yunpeng, Wang, Zhengshan |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
A Deep Multi-Modal Method for Patient Wound Healing Assessment
par: Oota, Subba Reddy, et autres
Publié: (2026)
par: Oota, Subba Reddy, et autres
Publié: (2026)
WoundFormer: Multi-Scale Spatial Feature Fusion for Multi-Class Wound Tissue Segmentation
par: Kabir, Muhammad Ashad, et autres
Publié: (2026)
par: Kabir, Muhammad Ashad, et autres
Publié: (2026)
Wound Tissue Segmentation in Diabetic Foot Ulcer Images Using Deep Learning: A Pilot Study
par: Dhar, Mrinal Kanti, et autres
Publié: (2024)
par: Dhar, Mrinal Kanti, et autres
Publié: (2024)
Virtually Objective Quantification of in vitro Wound Healing Scratch Assays with the Segment Anything Model
par: Löwenstein, Katja, et autres
Publié: (2024)
par: Löwenstein, Katja, et autres
Publié: (2024)
WoundNet-Ensemble: A Novel IoMT System Integrating Self-Supervised Deep Learning and Multi-Model Fusion for Automated, High-Accuracy Wound Classification and Healing Progression Monitoring
par: Kiprono, Moses
Publié: (2025)
par: Kiprono, Moses
Publié: (2025)
Wound3DAssist: A Practical Framework for 3D Wound Assessment
par: Chierchia, Remi, et autres
Publié: (2025)
par: Chierchia, Remi, et autres
Publié: (2025)
Deep Learning for Wound Tissue Segmentation: A Comprehensive Evaluation using A Novel Dataset
par: Kabir, Muhammad Ashad, et autres
Publié: (2025)
par: Kabir, Muhammad Ashad, et autres
Publié: (2025)
Spatial-Spectral Adaptive Fidelity and Noise Prior Reduction Guided Hyperspectral Image Denoising
par: Xie, Xuelin, et autres
Publié: (2026)
par: Xie, Xuelin, et autres
Publié: (2026)
Integrating Vision and Location with Transformers: A Multimodal Deep Learning Framework for Medical Wound Analysis
par: Mousa, Ramin, et autres
Publié: (2025)
par: Mousa, Ramin, et autres
Publié: (2025)
Deep Learning-Driven Heat Map Analysis for Evaluating thickness of Wounded Skin Layers
par: GR, Devakumar, et autres
Publié: (2024)
par: GR, Devakumar, et autres
Publié: (2024)
SurgWound-Bench: A Benchmark for Surgical Wound Diagnosis
par: Xu, Jiahao, et autres
Publié: (2025)
par: Xu, Jiahao, et autres
Publié: (2025)
WoundAmbit: Bridging State-of-the-Art Semantic Segmentation and Real-World Wound Care
par: Borst, Vanessa, et autres
Publié: (2025)
par: Borst, Vanessa, et autres
Publié: (2025)
CO2Wounds-V2: Extended Chronic Wounds Dataset From Leprosy Patients
par: Sanchez, Karen, et autres
Publié: (2024)
par: Sanchez, Karen, et autres
Publié: (2024)
Multi-View Consistent Wound Segmentation With Neural Fields
par: Chierchia, Remi, et autres
Publié: (2026)
par: Chierchia, Remi, et autres
Publié: (2026)
Deep Learning Based 3D Segmentation: A Survey
par: He, Yong, et autres
Publié: (2021)
par: He, Yong, et autres
Publié: (2021)
WoundAIssist: A Patient-Centered Mobile App for AI-Assisted Wound Care With Physicians in the Loop
par: Borst, Vanessa, et autres
Publié: (2025)
par: Borst, Vanessa, et autres
Publié: (2025)
Assessing Multimodal Chronic Wound Embeddings with Expert Triplet Agreement
par: Kabus, Fabian, et autres
Publié: (2026)
par: Kabus, Fabian, et autres
Publié: (2026)
Compositional Zero-shot Learning via Progressive Language-based Observations
par: Li, Lin, et autres
Publié: (2023)
par: Li, Lin, et autres
Publié: (2023)
A Weakly Supervised and Globally Explainable Learning Framework for Brain Tumor Segmentation
par: Xie, Ruitao, et autres
Publié: (2024)
par: Xie, Ruitao, et autres
Publié: (2024)
Non-Invasive 3D Wound Measurement with RGB-D Imaging
par: Harkämper, Lena, et autres
Publié: (2026)
par: Harkämper, Lena, et autres
Publié: (2026)
A Study of Data Augmentation Techniques to Overcome Data Scarcity in Wound Classification using Deep Learning
par: Narayanan, Harini, et autres
Publié: (2024)
par: Narayanan, Harini, et autres
Publié: (2024)
Automated Learning of Semantic Embedding Representations for Diffusion Models
par: Jiang, Limai, et autres
Publié: (2025)
par: Jiang, Limai, et autres
Publié: (2025)
Heterogeneous Skeleton-Based Action Representation Learning
par: Wang, Hongsong, et autres
Publié: (2025)
par: Wang, Hongsong, et autres
Publié: (2025)
Deep Learning-Based Longitudinal Prediction of Childhood Myopia Progression Using Fundus Image Sequences and Baseline Refraction Data
par: Kang, Mengtian, et autres
Publié: (2024)
par: Kang, Mengtian, et autres
Publié: (2024)
Dual-Imbalance Continual Learning for Real-World Food Recognition
par: Zhang, Xiaoyan, et autres
Publié: (2026)
par: Zhang, Xiaoyan, et autres
Publié: (2026)
SALVE: A 3D Reconstruction Benchmark of Wounds from Consumer-grade Videos
par: Chierchia, Remi, et autres
Publié: (2024)
par: Chierchia, Remi, et autres
Publié: (2024)
Syn3DWound: A Synthetic Dataset for 3D Wound Bed Analysis
par: Lebrat, Léo, et autres
Publié: (2023)
par: Lebrat, Léo, et autres
Publié: (2023)
TriDE: Triangle-Consistent Translation Directions for Global Camera Pose Estimation
par: Chen, Francisco, et autres
Publié: (2026)
par: Chen, Francisco, et autres
Publié: (2026)
Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation
par: Zhong, Xinhao, et autres
Publié: (2024)
par: Zhong, Xinhao, et autres
Publié: (2024)
MM-GTUNets: Unified Multi-Modal Graph Deep Learning for Brain Disorders Prediction
par: Cai, Luhui, et autres
Publié: (2024)
par: Cai, Luhui, et autres
Publié: (2024)
Early Explorations of Lightweight Models for Wound Segmentation on Mobile Devices
par: Borst, Vanessa, et autres
Publié: (2024)
par: Borst, Vanessa, et autres
Publié: (2024)
From Easy to Hard: Progressive Active Learning Framework for Infrared Small Target Detection with Single Point Supervision
par: Yu, Chuang, et autres
Publié: (2024)
par: Yu, Chuang, et autres
Publié: (2024)
EPOFusion: Exposure aware Progressive Optimization Method for Infrared and Visible Image Fusion
par: Wang, Zhiwei, et autres
Publié: (2026)
par: Wang, Zhiwei, et autres
Publié: (2026)
Monocular Lane Detection Based on Deep Learning: A Survey
par: He, Xin, et autres
Publié: (2024)
par: He, Xin, et autres
Publié: (2024)
HistoMet: A Pan-Cancer Deep Learning Framework for Prognostic Prediction of Metastatic Progression and Site Tropism from Primary Tumor Histopathology
par: Chen, Yixin, et autres
Publié: (2026)
par: Chen, Yixin, et autres
Publié: (2026)
Incorporating Anatomical Awareness for Enhanced Generalizability and Progression Prediction in Deep Learning-Based Radiographic Sacroiliitis Detection
par: Dorfner, Felix J., et autres
Publié: (2024)
par: Dorfner, Felix J., et autres
Publié: (2024)
Recent Deep Learning in Crowd Behaviour Analysis: A Brief Review
par: Yue, Jiangbei, et autres
Publié: (2025)
par: Yue, Jiangbei, et autres
Publié: (2025)
Progressive Domain Adaptation for Thermal Infrared Object Tracking
par: Li, Qiao, et autres
Publié: (2024)
par: Li, Qiao, et autres
Publié: (2024)
Zero-Shot Multi-modal Large Language Model v.s. Supervised Deep Learning: A Comparative Study on CT-Based Intracranial Hemorrhage Subtyping
par: Wang, Yinuo, et autres
Publié: (2025)
par: Wang, Yinuo, et autres
Publié: (2025)
FiffDepth: Feed-forward Transformation of Diffusion-Based Generators for Detailed Depth Estimation
par: Bai, Yunpeng, et autres
Publié: (2024)
par: Bai, Yunpeng, et autres
Publié: (2024)
Documents similaires
-
A Deep Multi-Modal Method for Patient Wound Healing Assessment
par: Oota, Subba Reddy, et autres
Publié: (2026) -
WoundFormer: Multi-Scale Spatial Feature Fusion for Multi-Class Wound Tissue Segmentation
par: Kabir, Muhammad Ashad, et autres
Publié: (2026) -
Wound Tissue Segmentation in Diabetic Foot Ulcer Images Using Deep Learning: A Pilot Study
par: Dhar, Mrinal Kanti, et autres
Publié: (2024) -
Virtually Objective Quantification of in vitro Wound Healing Scratch Assays with the Segment Anything Model
par: Löwenstein, Katja, et autres
Publié: (2024) -
WoundNet-Ensemble: A Novel IoMT System Integrating Self-Supervised Deep Learning and Multi-Model Fusion for Automated, High-Accuracy Wound Classification and Healing Progression Monitoring
par: Kiprono, Moses
Publié: (2025)