Publications by authors named "Awais Ashraf"
Article Synopsis
- The study focuses on developing a fully automated segmentation method for spinal MRI images using a convolutional-deconvolution neural network to improve efficiency and accuracy in diagnosing spinal diseases.
- A combination of patch extraction and feature representation techniques allows the model to effectively learn and accurately segment spine MRI data, resulting in high precision and performance metrics compared to traditional methods.
- Experimental results demonstrate the proposed method's capability, achieving impressive statistics (e.g., 91.1% recall, 93.2% accuracy) and highlighting its potential to overcome the challenges of conventional segmentation techniques.
The present study assessed the effectiveness of gamma radiation in inducing favorable genetic variability in tomato ( L.). An experiment was conducted in a randomized complete block design to produce M generation.
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