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How U-Net Helps in Image Segmentation : My Early Findings

Feb 25 · 3 min read · Introduction Over the past weeks, I’ve been exploring deep learning models for image segmentation, especially in the context of medical imaging. One architecture that keeps standing out is U-Net. Even

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YZYichun Zhaoyichunzhao.hashnode.dev

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Detection Algorithms

Apr 1, 2025 · 6 min read · Object Localization the process identifying and locating objects within an image Detection: identifying whether an object of interest is present in the image Bounding Box: draw a rectangular box around the detected object, determined by parameters ...

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GDGabi Dobocanblog.telepat.io

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Unlocking the Power of AI in Medical Image Segmentation: A Deep Dive into Semi-Supervised Learning with SAM

Nov 20, 2024 · 4 min read · In the world of medical imaging, precision is everything. The task of semantic segmentation — identifying and delineating objects within images — is a cornerstone of medical data analysis. However, the challenge lies in the dependency on large, annot...

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How U-Net Helps in Image Segmentation : My Early Findings

Detection Algorithms

Unlocking the Power of AI in Medical Image Segmentation: A Deep Dive into Semi-Supervised Learning with SAM