Designing a High-performance Deep Learning Theoretical Model for Biomedical Image Segmentation by using Key Elements of the Latest U-Net-Based Architectures: A Recent Study

Current advancements in machine learning, particularly deep learning, are proving to be useful in identifying and quantifying patterns in medical pictures. The crucial power of deep learning algorithms to generate hierarchical feature representations directly from pictures, which eliminates the need for handcrafted features, lies at the heart of these breakthroughs. Deep learning is quickly becoming…
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May 4, 2022 0