- A convolutional attention model for predicting response to chemo ...🔍
- A convolutional attention model for predicting response to ...🔍
- CNN|based deep learning method for predicting the disease ...🔍
- Cross|modal deep learning model for predicting pathologic ...🔍
- A hierarchical self‐attention‐guided deep learning framework to ...🔍
- Apriori prediction of chemotherapy response in locally advanced ...🔍
- Predicting Response of Triple|Negative Breast Cancer to ...🔍
- A New Hierarchical Deep Learning Model Accurately Predicts ...🔍
A convolutional attention model for predicting response to chemo ...
A convolutional attention model for predicting response to chemo ...
This study focuses on the prediction of tumor response to chemo-immunotherapy, exploring the potential of tumor mechanics and medical imaging as predictive ...
A convolutional attention model for predicting response to chemo ...
A convolutional attention model for predicting response to chemo-immunotherapy from ultrasound elastography in mouse tumor models · Abstract.
(PDF) A convolutional attention model for predicting response to ...
Here we show, strong evidence that integrating SWE-derived biomarkers with automatic tumor segmentation algorithms enables accurate tumor ...
A convolutional attention model for predicting response to chemo ...
Results We present strong evidence that integrating SWE-derived biomarkers with automatic tumor segmentation algorithms enables accurate tumor ...
A convolutional attention model for predicting response to ... - DKFZ
Home > Publications database > A convolutional attention model for predicting response to chemo-immunotherapy from ultrasound elastography in ...
A convolutional attention model for predicting response to chemo ...
A convolutional attention model for predicting response to chemo-immunotherapy from ultrasound elastography in mouse tumor models ...
A convolutional attention model for predicting response to chemo ...
A convolutional attention model for predicting response to chemo-immunotherapy from ultrasound elastography in mouse tumor models · Borrebaeck, Carl A. K. · Jain, ...
A convolutional attention model for predicting response to chemo ...
A convolutional attention model for predicting response to chemo-immunotherapy from ultrasound elastography in mouse tumor models ... Authors: Chrysovalantis ...
A convolutional attention model for predicting response to chemo ...
In the era of personalized cancer treatment, understanding the intrinsic heterogeneity of tumors is crucial. Despite some patients responding favorably to a ...
A convolutional attention model for predicting response to chemo ...
Voutouri, C. et al. A convolutional attention model for predicting response to chemo-immunotherapy from ultrasound elastography in mouse tumor models. Zenodo, ...
CNN-based deep learning method for predicting the disease ... - NCBI
In this study, unlike other studies, it is aimed to predict the complete response to treatment using a deep learning model. It has been observed ...
Cross-modal deep learning model for predicting pathologic ... - Nature
Pathological complete response (pCR) serves as a critical measure of the success of neoadjuvant chemotherapy (NAC) in breast cancer, ...
A hierarchical self‐attention‐guided deep learning framework to ...
This study, for the first time, proposes a hierarchical self-attention-guided deep learning framework to predict NAC response in breast cancer ...
Apriori prediction of chemotherapy response in locally advanced ...
The objective of the work here was to develop a predictive model to predict tumor response to NAC for LABC using deep learning networks and ...
PBAC: A pathway‐based attention convolution neural network for ...
Furthermore, the model undergoes evaluation and interpretability analysis. 3.1 Chemotherapy drug response prediction. In the current study, we trained our model ...
Predicting Response of Triple-Negative Breast Cancer to ...
To train this model, we used the attention mechanism, which uses a weighted average of tiles (low-dimensional embeddings), where the weights ...
A New Hierarchical Deep Learning Model Accurately Predicts ...
“Early prediction of chemotherapy response can facilitate therapeutic modifications for individual patients, possibly improving overall ...
A transformer-based deep learning model for early prediction of ...
A transformer-based DLN was developed using 3D tumor images to predict LNM after NAC. A clinical model was constructed through multivariate ...
A Soft-Attention Guidance Stacked neural Network for neoadjuvant ...
Highlights · A noninvasive computer-aided method to predict responses after breast NACT. · An interactively parallel network to predict NACT responses from DCE- ...
ventional ML models in predicting BC response to. NAC.25 The ML ... predict breast cancer response to chemotherapy. REFERENCES. 1. Siegel ...