Cover Image

Deep Modeling and Optimization of Medical Image Classification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Yihang, Owais, Muhammad, Kateb, Reem, Chaddad, Ahmad
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Domain Adaptation Techniques for Natural and Medical Image Classification
by: Chaddad, Ahmad, et al.
Published: (2025)

Semi-Supervised Medical Image Segmentation via Dual Networks
by: Lu, Yunyao, et al.
Published: (2025)

Federated Vision Transformer with Adaptive Focal Loss for Medical Image Classification
by: Zhao, Xinyuan, et al.
Published: (2026)

Generalizable and Explainable Deep Learning for Medical Image Computing: An Overview
by: Chaddad, Ahmad, et al.
Published: (2025)

Enhancing Dual Network Based Semi-Supervised Medical Image Segmentation with Uncertainty-Guided Pseudo-Labeling
by: Lu, Yunyao, et al.
Published: (2025)

Federated CLIP for Resource-Efficient Heterogeneous Medical Image Classification
by: Wu, Yihang, et al.
Published: (2025)

GMGaze: MoE-Based Context-Aware Gaze Estimation with CLIP and Multiscale Transformer
by: Zhao, Xinyuan, et al.
Published: (2026)

Deep Modeling and Interpretation for Bladder Cancer Classification
by: Chaddad, Ahmad, et al.
Published: (2026)

FACMIC: Federated Adaptative CLIP Model for Medical Image Classification
by: Wu, Yihang, et al.
Published: (2024)

Towards a Transparent and Interpretable AI Model for Medical Image Classifications
by: Wen, Binbin, et al.
Published: (2025)

Impact of domain adaptation in deep learning for medical image classifications
by: Wu, Yihang, et al.
Published: (2026)

Classification based deep learning models for lung cancer and disease using medical images
by: Chaddad, Ahmad, et al.
Published: (2025)

SHAP-Integrated Convolutional Diagnostic Networks for Feature-Selective Medical Analysis
by: Hu, Yan, et al.
Published: (2025)

A Comprehensive Review of Techniques, Algorithms, Advancements, Challenges, and Clinical Applications of Multi-modal Medical Image Fusion for Improved Diagnosis
by: Zubair, Muhammad, et al.
Published: (2025)

Dynamic Memory Transformer for Hyperspectral Image Classification
by: Ahmad, Muhammad
Published: (2025)

Sharpend Cosine Similarity based Neural Network for Hyperspectral Image Classification
by: Ahmad, Muhammad
Published: (2023)

3D Fourier-based Global Feature Extraction for Hyperspectral Image Classification
by: Ahmad, Muhammad
Published: (2026)

Cosine-Normalized Attention for Hyperspectral Image Classification
by: Ahmad, Muhammad, et al.
Published: (2026)

GazeFormer-MoE: Context-Aware Gaze Estimation via CLIP and MoE Transformer
by: Zhao, Xinyuan, et al.
Published: (2026)

Pyramid Hierarchical Transformer for Hyperspectral Image Classification
by: Ahmad, Muhammad, et al.
Published: (2024)

TopoImages: Incorporating Local Topology Encoding into Deep Learning Models for Medical Image Classification
by: Gu, Pengfei, et al.
Published: (2025)

Multi-head Spatial-Spectral Mamba for Hyperspectral Image Classification
by: Ahmad, Muhammad, et al.
Published: (2024)

Deep Learning in Medical Image Classification from MRI-based Brain Tumor Images
by: Liu, Xiaoyi, et al.
Published: (2024)

EnergyFormer: Energy Attention with Fourier Embedding for Hyperspectral Image Classification
by: Sohail, Saad, et al.
Published: (2025)

In-Model Merging for Enhancing the Robustness of Medical Imaging Classification Models
by: Wang, Hu, et al.
Published: (2025)

Dual-View Pyramid Pooling in Deep Neural Networks for Improved Medical Image Classification and Confidence Calibration
by: Zhang, Xiaoqing, et al.
Published: (2024)

Importance of Disjoint Sampling in Conventional and Transformer Models for Hyperspectral Image Classification
by: Ahmad, Muhammad, et al.
Published: (2024)

Efficient Medical Image Retrieval Using DenseNet and FAISS for BIRADS Classification
by: Rahman, MD Shaikh, et al.
Published: (2024)

Universal Semi-Supervised Learning for Medical Image Classification
by: Ju, Lie, et al.
Published: (2023)

Beam-Guided Knowledge Replay for Knowledge-Rich Image Captioning using Vision-Language Model
by: AlJunaid, Reem, et al.
Published: (2025)

Adapting a Segmentation Foundation Model for Medical Image Classification
by: Gu, Pengfei, et al.
Published: (2025)

Hybrid State-Space and GRU-based Graph Tokenization Mamba for Hyperspectral Image Classification
by: Ahmad, Muhammad, et al.
Published: (2025)

Medical Knowledge Intervention Prompt Tuning for Medical Image Classification
by: Du, Ye, et al.
Published: (2025)

Covariance Descriptors Meet General Vision Encoders: Riemannian Deep Learning for Medical Image Classification
by: Mayr, Josef, et al.
Published: (2025)

Debiased Noise Editing on Foundation Models for Fair Medical Image Classification
by: Jin, Ruinan, et al.
Published: (2024)

Model Agnostic Preference Optimization for Medical Image Segmentation
by: Nam, Yunseong, et al.
Published: (2025)

SITAR: Semi-supervised Image Transformer for Action Recognition
by: Iqbal, Owais, et al.
Published: (2024)

DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification
by: Ahmad, Muhammad, et al.
Published: (2024)

WaveMamba: Spatial-Spectral Wavelet Mamba for Hyperspectral Image Classification
by: Ahmad, Muhammad, et al.
Published: (2024)

Transformer-Driven Active Transfer Learning for Cross-Hyperspectral Image Classification
by: Ahmad, Muhammad, et al.
Published: (2024)