Deep Learning with HM-VGG: AI Strategies for Multi-modal Image Analysis
Fuente:
arXiv
Saved in:
| Main Authors: | Du, Junliang, Cang, Yiru, Zhou, Tong, Hu, Jiacheng, He, Weijie |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Enhancing Medical Image Segmentation with Deep Learning and Diffusion Models
by: Liu, Houze, et al.
Published: (2024)
by: Liu, Houze, et al.
Published: (2024)
Axial Attention Transformer Networks: A New Frontier in Breast Cancer Detection
by: He, Weijie, et al.
Published: (2024)
by: He, Weijie, et al.
Published: (2024)
Deep Learning-Based Channel Squeeze U-Structure for Lung Nodule Detection and Segmentation
by: Sui, Mingxiu, et al.
Published: (2024)
by: Sui, Mingxiu, et al.
Published: (2024)
Enhancing Underwater Images via Deep Learning: A Comparative Study of VGG19 and ResNet50-Based Approaches
by: Li, Aoqi, et al.
Published: (2025)
by: Li, Aoqi, et al.
Published: (2025)
Deep Learning-based Cross-modal Reconstruction of Vehicle Target from Sparse 3D SAR Image
by: Li, Da, et al.
Published: (2024)
by: Li, Da, et al.
Published: (2024)
Multi-modal Deep Learning
by: Yuhua, Chen
Published: (2024)
by: Yuhua, Chen
Published: (2024)
Learning Multi-axis Representation in Frequency Domain for Medical Image Segmentation
by: Ruan, Jiacheng, et al.
Published: (2023)
by: Ruan, Jiacheng, et al.
Published: (2023)
Reliable Multi-modal Medical Image-to-image Translation Independent of Pixel-wise Aligned Data
by: Zhou, Langrui, et al.
Published: (2024)
by: Zhou, Langrui, et al.
Published: (2024)
A Multi-annotated and Multi-modal Dataset for Wide-angle Video Quality Assessment
by: Hu, Bo, et al.
Published: (2025)
by: Hu, Bo, et al.
Published: (2025)
Multi-modal Liver Segmentation and Fibrosis Staging Using Real-world MRI Images
by: Zhou, Yang, et al.
Published: (2025)
by: Zhou, Yang, et al.
Published: (2025)
Exploration of Multi-Scale Image Fusion Systems in Intelligent Medical Image Analysis
by: Hu, Yuxiang, et al.
Published: (2024)
by: Hu, Yuxiang, et al.
Published: (2024)
Convolutional Neural Networks for Predictive Modeling of Lung Disease
by: Liang, Yingbin, et al.
Published: (2024)
by: Liang, Yingbin, et al.
Published: (2024)
A comparative study of generative adversarial networks for image recognition algorithms based on deep learning and traditional methods
by: Zhong, Yihao, et al.
Published: (2024)
by: Zhong, Yihao, et al.
Published: (2024)
Multi-sensor Learning Enables Information Transfer across Different Sensory Data and Augments Multi-modality Imaging
by: Zhu, Lingting, et al.
Published: (2024)
by: Zhu, Lingting, et al.
Published: (2024)
Deep Attention Unet: A Network Model with Global Feature Perception Ability
by: Li, Jiacheng
Published: (2023)
by: Li, Jiacheng
Published: (2023)
Efficient Model-Based Deep Learning via Network Pruning and Fine-Tuning
by: Park, Chicago Y., et al.
Published: (2023)
by: Park, Chicago Y., et al.
Published: (2023)
AI-based Automatic Segmentation of Prostate on Multi-modality Images: A Review
by: Jin, Rui, et al.
Published: (2024)
by: Jin, Rui, et al.
Published: (2024)
MCAD: Multi-modal Conditioned Adversarial Diffusion Model for High-Quality PET Image Reconstruction
by: Cui, Jiaqi, et al.
Published: (2024)
by: Cui, Jiaqi, et al.
Published: (2024)
Enhanced Pediatric Dental Segmentation Using a Custom SegUNet with VGG19 Backbone on Panoramic Radiographs
by: Ovi, Md Ohiduzzaman, et al.
Published: (2025)
by: Ovi, Md Ohiduzzaman, et al.
Published: (2025)
UniMIC: Towards Universal Multi-modality Perceptual Image Compression
by: Gao, Yixin, et al.
Published: (2024)
by: Gao, Yixin, et al.
Published: (2024)
Adaptive Multi-modal Fusion of Spatially Variant Kernel Refinement with Diffusion Model for Blind Image Super-Resolution
by: Lin, Junxiong, et al.
Published: (2024)
by: Lin, Junxiong, 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)
by: Singh, Sonit, et al.
Published: (2024)
Novel Pooling-based VGG-Lite for Pneumonia and Covid-19 Detection from Imbalanced Chest X-Ray Datasets
by: Roy, Santanu, et al.
Published: (2025)
by: Roy, Santanu, et al.
Published: (2025)
FECT: Classification of Breast Cancer Pathological Images Based on Fusion Features
by: Hao, Jiacheng, et al.
Published: (2025)
by: Hao, Jiacheng, et al.
Published: (2025)
PISE: Physics-Anchored Semantically-Enhanced Deep Computational Ghost Imaging for Robust Low-Bandwidth Machine Perception
by: Wu, Tong
Published: (2026)
by: Wu, Tong
Published: (2026)
Adaptive Latent Diffusion Model for 3D Medical Image to Image Translation: Multi-modal Magnetic Resonance Imaging Study
by: Kim, Jonghun, et al.
Published: (2023)
by: Kim, Jonghun, et al.
Published: (2023)
Advanced Assessment of Stroke in Retinal Fundus Imaging with Deep Multi-view Learning
by: Degerli, Aysen, et al.
Published: (2025)
by: Degerli, Aysen, et al.
Published: (2025)
Multi-scale Feature Enhancement in Multi-task Learning for Medical Image Analysis
by: Bui, Phuoc-Nguyen, et al.
Published: (2024)
by: Bui, Phuoc-Nguyen, et al.
Published: (2024)
Toward DNN of LUTs: Learning Efficient Image Restoration with Multiple Look-Up Tables
by: Li, Jiacheng, et al.
Published: (2023)
by: Li, Jiacheng, et al.
Published: (2023)
UGGNet: Bridging U-Net and VGG for Advanced Breast Cancer Diagnosis
by: Minh, Tran Cao, et al.
Published: (2024)
by: Minh, Tran Cao, et al.
Published: (2024)
Fed-MUnet: Multi-modal Federated Unet for Brain Tumor Segmentation
by: Zhou, Ruojun, et al.
Published: (2024)
by: Zhou, Ruojun, et al.
Published: (2024)
Multi-modality transrectal ultrasound video classification for identification of clinically significant prostate cancer
by: Wu, Hong, et al.
Published: (2024)
by: Wu, Hong, et al.
Published: (2024)
PtychoDV: Vision Transformer-Based Deep Unrolling Network for Ptychographic Image Reconstruction
by: Gan, Weijie, et al.
Published: (2023)
by: Gan, Weijie, et al.
Published: (2023)
TaGAT: Topology-Aware Graph Attention Network For Multi-modal Retinal Image Fusion
by: Tian, Xin, et al.
Published: (2024)
by: Tian, Xin, et al.
Published: (2024)
Multi-modal Uncertainty Robust Tree Cover Segmentation For High-Resolution Remote Sensing Images
by: Gui, Yuanyuan, et al.
Published: (2025)
by: Gui, Yuanyuan, et al.
Published: (2025)
Multi-modal Learning with Missing Modality in Predicting Axillary Lymph Node Metastasis
by: Zhang, Shichuan, et al.
Published: (2024)
by: Zhang, Shichuan, et al.
Published: (2024)
AI, Entrepreneurs, and Privacy: Deep Learning Outperforms Humans in Detecting Entrepreneurs from Image Data
by: Obschonka, Martin, et al.
Published: (2024)
by: Obschonka, Martin, et al.
Published: (2024)
Multi-modal MRI Translation via Evidential Regression and Distribution Calibration
by: Liu, Jiyao, et al.
Published: (2024)
by: Liu, Jiyao, et al.
Published: (2024)
CFMW: Cross-modality Fusion Mamba for Robust Object Detection under Adverse Weather
by: Li, Haoyuan, et al.
Published: (2024)
by: Li, Haoyuan, et al.
Published: (2024)
Hybrid Convolutional and Attention Network for Hyperspectral Image Denoising
by: Hu, Shuai, et al.
Published: (2024)
by: Hu, Shuai, et al.
Published: (2024)
Similar Items
-
Enhancing Medical Image Segmentation with Deep Learning and Diffusion Models
by: Liu, Houze, et al.
Published: (2024) -
Axial Attention Transformer Networks: A New Frontier in Breast Cancer Detection
by: He, Weijie, et al.
Published: (2024) -
Deep Learning-Based Channel Squeeze U-Structure for Lung Nodule Detection and Segmentation
by: Sui, Mingxiu, et al.
Published: (2024) -
Enhancing Underwater Images via Deep Learning: A Comparative Study of VGG19 and ResNet50-Based Approaches
by: Li, Aoqi, et al.
Published: (2025) -
Deep Learning-based Cross-modal Reconstruction of Vehicle Target from Sparse 3D SAR Image
by: Li, Da, et al.
Published: (2024)