3 papers
cs.CV2025
Multimodal Medical Image Classification via Synergistic Learning Pre-training
Qinghua Lin, Guang-Hai Liu, Zuoyong Li +3
Multimodal pathological images are usually in clinical diagnosis, but computer vision-based multimodal image-assisted diagnosis faces challenges with modality fusion, especially in…
cs.CV2024
SAM Fewshot Finetuning for Anatomical Segmentation in Medical Images
Weiyi Xie, Nathalie Willems, Shubham Patil +2
We propose a straightforward yet highly effective few-shot fine-tuning strategy for adapting the Segment Anything (SAM) to anatomical segmentation tasks in medical images. Our nove…
eess.IV2024
FusionINN: Decomposable Image Fusion for Brain Tumor Monitoring
Nishant Kumar, Ziyan Tao, Jaikirat Singh +4
Image fusion typically employs non-invertible neural networks to merge multiple source images into a single fused image. However, for clinical experts, solely relying on fused imag…