The ExactVu micro-ultrasound platform is noninferior to MRI in detecting clinically significant prostate cancer in biopsy-naïve men. Microultrasonography offers a cost-effective, in-office alternative ...

Deep learning project using TensorFlow CNN for Brain MRI image classification (Ischemic vs Hemorrhagic). Includes model training, evaluation, preprocessing, and result visualization.

Through GE Healthcare's AI Innovation Lab, Mass General Brigham and UW-Madison will pair the company's magnetic resonance imaging foundational model with real data from their hospital systems and then ...

In this tutorial, we build an Advanced OCR AI Agent in Google Colab using EasyOCR, OpenCV, and Pillow, running fully offline with GPU acceleration. The agent includes a preprocessing pipeline with ...

ABSTRACT: Magnetic Resonance Imaging (MRI) is commonly applied to clinical diagnostics owing to its high soft-tissue contrast and lack of invasiveness. However, its sensitivity to noise, attributable ...

Objective: To investigate an in vivo biopsy method based on CT-MRI fusion image registration and evaluate its value for improving the accuracy of preoperative core ...

Objective: To address the challenges of low surgical precision and poor consistency in focused ultrasound ablation surgery (FUAS) for uterine fibroids, which are often caused by variations in clinical ...

Abstract: The integration of artificial intelligence (AI) in medical imaging has revolutionized diagnostic accuracy, particularly for X-ray and MRI scans. This paper presents a novel AI-driven ...

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