#medical image classification
4 papers · 1 filter
What Makes Deep Learning Work for Traditional Chinese Medicine Tongue Diagnosis? A Comprehensive Ablation Study
Longxia Gao, Linan Wang, Yuhe Han +3
The paper systematically evaluates how different deep‑learning design choices affect automated tongue diagnosis for traditional Chinese medicine, identifying six key principles for…
LLM-Guided Initialization for Accelerated Hybrid Quantum-Classical Medical Image Classification
Riza Alaudin Syah, Irwan Alnarus Kautsar, Haza Nuzly Bin Abdull Hamed
The paper investigates using a large language model to suggest initial parameters for variational quantum neural networks, showing that this LLM-guided initialization dramatically…
Steering Diffusion Models via Class-Contrastive Influence for Few-Shot Medical Classification
Jeeyung Kim, Erfan Esmaeili, Qiang Qiu
The paper introduces Class-Contrastive Influence (C2I) to evaluate how useful diffusion‑generated images are for few‑shot medical classification, and uses reinforcement learning to…
MedDiffuseMix: Preserving Diagnostic Evidence with Saliency-Aware Diffusion Medical Image Data Augmentation
Teerath Kumar, Raja Vavekanand, Muhammad Turab
The paper introduces MedDiffuseMix, a saliency‑aware diffusion‑based augmentation method that mixes low‑importance regions of medical images while preserving diagnostically importa…