Why 76% of Brands Can’t Activate Offline Data–And What It’s Costing Them
Blueshift’s latest research reveals that despite growing AI adoption, most brands still face data silos, limiting their ...
IEEE12 天
A One-Shot Pine Tree Disease Segmentation Model Integrating Interclass Relations and Prior ...
However, these methods are mostly applicable to natural images with clear boundaries and have not yet been applied to segmenting pine tree disease in autonomous aerial vehicle (AAV) remote sensing ...
IEEE12 天
TDA SegUNet: Topological Data Analysis-Based Shape-Aware Brain Tumor Segmentation
The proposed model was trained for 2D segmentation on the BraTS20 CCA-Patch dataset and demonstrated improved performance compared to state-of-the-art techniques in segmenting the whole tumor, core ...
ascopubs.org15 天
Using a Longformer Large Language Model for Segmenting Unstructured Cancer Pathology Reports
Preoperative Maximum Standardized Uptake Value Emphasized in Explainable Machine Learning Model for Predicting the Risk of Recurrence in Resected Non–Small Cell Lung Cancer Many Natural Language ...
ascopubs.org15 天
Using a Longformer Large Language Model for Segmenting Unstructured Cancer Pathology Reports
Development and Validation of Emoji Response Scales for Assessing Patient-Reported Outcomes Many Natural Language Processing (NLP) methods achieve greater performance when the input text is ...
Frontiers1 年
Application of FGD-BCEL loss function in segmenting temporal lobes on localized CT images ...
Additionally, we conducted a comparative analysis of four commonly used medical loss functions to evaluate the performance of FGD-BCEL specifically in segmenting the temporal lobe. The FGD-BCEL loss ...
LinkedIn1 年
How do you segment your customers based on their churn risk and behavior?
By segmenting your customers this way, you can identify which customers are at risk of churning, why they are dissatisfied, and what actions you can take to prevent them from leaving. You can also ...