Development and Portability of a Text Mining Algorithm for Capturing Disease Progression in Electronic Health Records of Patients With Stage IV Non–Small Cell Lung Cancer Emerging evidence suggests ...

An intelligent AFM processing framework integrates optimized scanning trajectories, distortion correction, and deep learning segmentation to improve imaging stability, accuracy, and automation. By ...

Use of an artificial intelligence model to predict Ki67 from H&E-stained whole slides images in breast cancer. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does ...

RetinaDA unites six public fundus sets into a 512 × 512 macula-centered benchmark with built-in domain gaps, enabling ...

研究人员在多个具有层次注释的三维场景数据集上验证了 DHL 框架的有效性。实验结果显示，相比于传统的单层分类器方法，DHL 在所有层次上的平均交并比（mIoU）和总体准确率上均获得了提升。例如，在 Campus3D ...

February 13, 2026. This webinar describes how Deep Learning methods can be used for object detection and segmentation in high resolution drone imagery using ArcGIS Pro.

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...