1Cross-Modal Causal Intervention for MedicalReport GenerationWeixing Chen, Yang Liu, Member, IEEE, Ce Wang, Jiarui Zhu, Shen Zhao, Guanbin Li, Member, IEEE,Cheng-Lin Liu, Fellow, IEEE, and Liang Lin, Fellow, IEEEAbstract—Medical report generation (MRG) is essential forcomputer-aided diagnos...
With the development of imaging technology, multimodal data has been applied to the processing and analysis of medical images. However, domain differences between different modalities introduce a significant amount of interference information, resulting in significant variations in pixel intensities at the ...
IFNet: An Image-Enhanced Cross-Modal Fusion Network for Radiology Report Generation Radiology Report Generation (RRG) tasks aim to automatically generate descriptive textual reports for medical images through computer-assisted technologies... Y Guo,X Hou,Z Liu,... - International Symposium on ...
cross-modal-learning medical-report-generation radiology-report-generation Updated Apr 12, 2024 Python verlab / StraightToThePoint_CVPR_2020 Star 8 Code Issues Pull requests Original PyTorch implementation of the code for the paper "Straight to the Point: Fast-forwarding Videos via Reinfor...
Cross-modal matching of image-text is an important task in the intersection of computer vision and natural language processing. However, traditional image-text cross-modal matching methods either only consider global image and global text matching, or only consider local image and local text matching...
(2024). HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-Modal Context Interaction. In: Linguraru, M.G., et al. Medical Image Computing and Computer Assisted Intervention – MICCAI 2024. MICCAI 2024. Lecture Notes in Computer Science, vol 15004. Springer, ...
In International Conference on Medical image com- 10471 puting and computer-assisted intervention, pages 234–241. Springer, 2015. 3 [55] Maha Salem, Stefan Kopp, Ipke Wachsmuth, Katharina Rohlfing, and Frank Joublin. Generation and evaluation of communicative...
Shulan (Hangzhou) Hospital, Affiliated to Zhejiang Shuren University Shulan International Medical College, Hangzhou, China Lifei Wang, Anqi Wang & Hanwen Zhang China National Center for Bioinformation, Beijing, China Rui Nie, Xuexia Miao & Jun Cai Key Laboratory of Genomic and Precision Medicine, Be...
By effectively extracting clinical visual knowledge of multiple medical modalities and adopting the latent multi-flow cross-guided diffusion process, MedM2G has the capability of the unified medical image-to- text, text-to-image diffusion, as well as the ...
In International conference on medical image computing and computer-assisted intervention (pp. 234–241), Springer. Roy, A., & Todorovic, S. (2016). Monocular depth estimation using neural regression forest. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. ...