Dermacen Analytica: A Novel Methodology Integrating Multi-Modal Large Language Models with Machine Learning in tele-dermatology
Fuente:
arXiv
Saved in:
| Main Authors: | Panagoulias, Dimitrios P., Tsoureli-Nikita, Evridiki, Virvou, Maria, Tsihrintzis, George A. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
COGNET-MD, an evaluation framework and dataset for Large Language Model benchmarks in the medical domain
by: Panagoulias, Dimitrios P., et al.
Published: (2024)
by: Panagoulias, Dimitrios P., et al.
Published: (2024)
Evaluating LLM -- Generated Multimodal Diagnosis from Medical Images and Symptom Analysis
by: Panagoulias, Dimitrios P., et al.
Published: (2024)
by: Panagoulias, Dimitrios P., et al.
Published: (2024)
Integrating Dynamic Correlation Shifts and Weighted Benchmarking in Extreme Value Analysis
by: Panagoulias, Dimitrios P., et al.
Published: (2024)
by: Panagoulias, Dimitrios P., et al.
Published: (2024)
Modeling Expert AI Diagnostic Alignment via Immutable Inference Snapshots
by: Panagoulias, Dimitrios P., et al.
Published: (2026)
by: Panagoulias, Dimitrios P., et al.
Published: (2026)
Deciphering Cross-Modal Alignment in Large Vision-Language Models with Modality Integration Rate
by: Huang, Qidong, et al.
Published: (2024)
by: Huang, Qidong, et al.
Published: (2024)
Multi-SpatialMLLM: Multi-Frame Spatial Understanding with Multi-Modal Large Language Models
by: Xu, Runsen, et al.
Published: (2025)
by: Xu, Runsen, et al.
Published: (2025)
Sample-efficient Integration of New Modalities into Large Language Models
by: İnce, Osman Batur, et al.
Published: (2025)
by: İnce, Osman Batur, et al.
Published: (2025)
A Spectrum Evaluation Benchmark for Medical Multi-Modal Large Language Models
by: Liu, Jie, et al.
Published: (2024)
by: Liu, Jie, et al.
Published: (2024)
Scaffolding Coordinates to Promote Vision-Language Coordination in Large Multi-Modal Models
by: Lei, Xuanyu, et al.
Published: (2024)
by: Lei, Xuanyu, et al.
Published: (2024)
Watch Out Your Album! On the Inadvertent Privacy Memorization in Multi-Modal Large Language Models
by: Ju, Tianjie, et al.
Published: (2025)
by: Ju, Tianjie, et al.
Published: (2025)
PM4Bench: Benchmarking Large Vision-Language Models with Parallel Multilingual Multi-Modal Multi-task Corpus
by: Gao, Junyuan, et al.
Published: (2025)
by: Gao, Junyuan, et al.
Published: (2025)
Exploring Attention Mechanisms in Integration of Multi-Modal Information for Sign Language Recognition and Translation
by: Hakim, Zaber Ibn Abdul, et al.
Published: (2023)
by: Hakim, Zaber Ibn Abdul, et al.
Published: (2023)
Single-to-mix Modality Alignment with Multimodal Large Language Model for Document Image Machine Translation
by: Liang, Yupu, et al.
Published: (2025)
by: Liang, Yupu, et al.
Published: (2025)
LEO-MINI: An Efficient Multimodal Large Language Model using Conditional Token Reduction and Mixture of Multi-Modal Experts
by: Wang, Yimu, et al.
Published: (2025)
by: Wang, Yimu, et al.
Published: (2025)
ML-Mamba: Efficient Multi-Modal Large Language Model Utilizing Mamba-2
by: Huang, Wenjun, et al.
Published: (2024)
by: Huang, Wenjun, et al.
Published: (2024)
Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models
by: Jiang, Lei, et al.
Published: (2025)
by: Jiang, Lei, et al.
Published: (2025)
Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models
by: Zhu, Tinghui, et al.
Published: (2024)
by: Zhu, Tinghui, et al.
Published: (2024)
SAM4MLLM: Enhance Multi-Modal Large Language Model for Referring Expression Segmentation
by: Chen, Yi-Chia, et al.
Published: (2024)
by: Chen, Yi-Chia, et al.
Published: (2024)
LLaVA-Phi: Efficient Multi-Modal Assistant with Small Language Model
by: Zhu, Yichen, et al.
Published: (2024)
by: Zhu, Yichen, et al.
Published: (2024)
SignBind-LLM: Multi-Stage Modality Fusion for Sign Language Translation
by: Thomas, Marshall, et al.
Published: (2025)
by: Thomas, Marshall, et al.
Published: (2025)
Core Knowledge Deficits in Multi-Modal Language Models
by: Li, Yijiang, et al.
Published: (2024)
by: Li, Yijiang, et al.
Published: (2024)
Text-centric Alignment for Multi-Modality Learning
by: Tsai, Yun-Da, et al.
Published: (2024)
by: Tsai, Yun-Da, et al.
Published: (2024)
Evolving Contextual Safety in Multi-Modal Large Language Models via Inference-Time Self-Reflective Memory
by: Zhang, Ce, et al.
Published: (2026)
by: Zhang, Ce, et al.
Published: (2026)
X-VILA: Cross-Modality Alignment for Large Language Model
by: Ye, Hanrong, et al.
Published: (2024)
by: Ye, Hanrong, et al.
Published: (2024)
Robust Multimodal Large Language Models Against Modality Conflict
by: Zhang, Zongmeng, et al.
Published: (2025)
by: Zhang, Zongmeng, et al.
Published: (2025)
MMGR: Multi-Modal Generative Reasoning
by: Cai, Zefan, et al.
Published: (2025)
by: Cai, Zefan, et al.
Published: (2025)
Multi-Modal Language Models as Text-to-Image Model Evaluators
by: Chen, Jiahui, et al.
Published: (2025)
by: Chen, Jiahui, et al.
Published: (2025)
Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models
by: Xu, Shicheng, et al.
Published: (2024)
by: Xu, Shicheng, et al.
Published: (2024)
Verbalized Machine Learning: Revisiting Machine Learning with Language Models
by: Xiao, Tim Z., et al.
Published: (2024)
by: Xiao, Tim Z., et al.
Published: (2024)
VoCoT: Unleashing Visually Grounded Multi-Step Reasoning in Large Multi-Modal Models
by: Li, Zejun, et al.
Published: (2024)
by: Li, Zejun, et al.
Published: (2024)
Mimicking or Reasoning: Rethinking Multi-Modal In-Context Learning in Vision-Language Models
by: Huang, Chengyue, et al.
Published: (2025)
by: Huang, Chengyue, et al.
Published: (2025)
Enhancing Meme Emotion Understanding with Multi-Level Modality Enhancement and Dual-Stage Modal Fusion
by: Shi, Yi, et al.
Published: (2025)
by: Shi, Yi, et al.
Published: (2025)
PRISM2: Unlocking Multi-Modal General Pathology AI with Clinical Dialogue
by: Vorontsov, Eugene, et al.
Published: (2025)
by: Vorontsov, Eugene, et al.
Published: (2025)
Modality-Aware Integration with Large Language Models for Knowledge-based Visual Question Answering
by: Dong, Junnan, et al.
Published: (2024)
by: Dong, Junnan, et al.
Published: (2024)
Multi-Modal Multi-Granularity Tokenizer for Chu Bamboo Slip Scripts
by: Chen, Yingfa, et al.
Published: (2024)
by: Chen, Yingfa, et al.
Published: (2024)
Shared and Private Information Learning in Multimodal Sentiment Analysis with Deep Modal Alignment and Self-supervised Multi-Task Learning
by: Lai, Songning, et al.
Published: (2023)
by: Lai, Songning, et al.
Published: (2023)
APLe: Token-Wise Adaptive for Multi-Modal Prompt Learning
by: Cao, Guiming, et al.
Published: (2024)
by: Cao, Guiming, et al.
Published: (2024)
Aligning Modalities in Vision Large Language Models via Preference Fine-tuning
by: Zhou, Yiyang, et al.
Published: (2024)
by: Zhou, Yiyang, et al.
Published: (2024)
Prompt Highlighter: Interactive Control for Multi-Modal LLMs
by: Zhang, Yuechen, et al.
Published: (2023)
by: Zhang, Yuechen, et al.
Published: (2023)
Growing a Multi-head Twig via Distillation and Reinforcement Learning to Accelerate Large Vision-Language Models
by: Shao, Zhenwei, et al.
Published: (2025)
by: Shao, Zhenwei, et al.
Published: (2025)
Similar Items
-
COGNET-MD, an evaluation framework and dataset for Large Language Model benchmarks in the medical domain
by: Panagoulias, Dimitrios P., et al.
Published: (2024) -
Evaluating LLM -- Generated Multimodal Diagnosis from Medical Images and Symptom Analysis
by: Panagoulias, Dimitrios P., et al.
Published: (2024) -
Integrating Dynamic Correlation Shifts and Weighted Benchmarking in Extreme Value Analysis
by: Panagoulias, Dimitrios P., et al.
Published: (2024) -
Modeling Expert AI Diagnostic Alignment via Immutable Inference Snapshots
by: Panagoulias, Dimitrios P., et al.
Published: (2026) -
Deciphering Cross-Modal Alignment in Large Vision-Language Models with Modality Integration Rate
by: Huang, Qidong, et al.
Published: (2024)