560-06-001 ISMRM Abstract

A Transformer-based Radiomics-Clinical Fusion Model for Predicting Pathological Complete Response in Breast Cancer Patients

Primary: Body - Breast

Secondary: Acquisition & Reconstruction - Quantitative Imaging: chest, abdomen, and pelvis

560-06-001 · AI Image Processing · Wednesday, 13 May, 4:55 PM–5:50 PM · Digital Posters Row A

Keywords: Pathological complete response Breast MRI Cross Attention Transformer Chemotherapy Response Prediction

Accepted

Zhitian Guo ¹, Moyun Zhang¹, Shuo Wang¹, Xinyue Yin¹, Lina Zhang¹

¹Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China

Presenting Author: Zhitian Guo

Synopsis

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References

1. Vaswani A, et al. Attention is all you need. Adv Neural Inf Process Syst. 2017. doi:10.48550/arXiv.1706.03762 [doi]

2. Doe J, Smith A. Radiomics in breast MRI: a systematic review. Med Phys. 2022;49(4):2233-2245. doi:10.1002/mp.15555 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/560-06-001