Cross Attention-based Fusion of Deep and Radiomics Features for Lung Nodule Invasiveness Prediction

SAMA: A Self-and-Mutual Attention Network for Accurate Recurrence Prediction of Non-Small Cell Lung Cancer Using Genetic and CT Data

Y Ai, J Liu, Y Li, F Wang, X Du, RK Jain… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Accurate preoperative recurrence prediction for non-small cell lung cancer (NSCLC) is a
challenging issue in the medical field. Existing studies primarily conduct image and …
被引用次数：1 相关文章 所有 2 个版本
[PDF] arxiv.org

Nyctale: Neuro-Evidence Transformer for Adaptive and Personalized Lung Nodule Invasiveness Prediction

S Khademi, A Oikonomou, K Plataniotis… - … on Image Processing …, 2024 - ieeexplore.ieee.org
Drawing inspiration from the primate brain's intriguing evidence accumulation process, and
guided by models from cognitive psychology and neuroscience, the paper introduces the …
相关文章 所有 2 个版本

이미지및레디오믹스특징의크로스어텐션을이용한유방종괴의악성과양성분류연구

나신영， 박현진 - 대한전자공학회학술대회, 2024 - dbpia.co.kr
Breast cancer is one of the most prevalent cancers among women globally and is a major
contributor to cancer-related mortality. This study explores a novel approach to classifying …
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