A comprehensive, actively maintained resource for MRI Super-Resolution covering papers, code, datasets, benchmarks, tutorials, courses, and talks, with a strong focus on MRI-specific challenges ...
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.
Dr. Mohammed Iqbal watches a monitor in a control room behind the operating room at Dell Children's Medical Center. An image of a brain lights up with green, yellow and blue areas to denote that ...
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 ...
Patients with glioblastoma often fall into a pitfall of confusing tumor recurrence with treatment response after radiotherapy (1, 2). Standard MRI has quite limited values in differentiating ...
1 Department of Computer Science and Informatics, University of Nairobi, Nairobi, Kenya. 2 Department of Computer Science, Mountains of the Moon University, Fort Portal, Uganda. Magnetic Resonance ...
Aim: This study aims to develop a robust and lightweight deep learning model for early brain tumor detection using magnetic resonance imaging (MRI), particularly under constraints of limited data ...
WEST LAFAYETTE, Ind. — The same technology behind MRI images of injury or disease also powers nuclear magnetic resonance (NMR) spectroscopy, which is used to analyze biological molecules for research ...
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