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Month: February 2024

Skip Connection in Image Segmentation: UNet, UNet++ and UNet 3+
Computer Vision Deep Learning

Skip Connection in Image Segmentation: UNet, UNet++ and UNet 3+

Nikhil Tomar7th February 2024
Image segmentation, a fundamental task in computer vision, involves partitioning an image into multiple segments to simplify its representation. One of the critical advancements in image segmentation architectures is the...
[Paper Summary] UNet 3+: A Full-Scale Connected UNET For Medical Image Segmentation
Computer Vision Deep Learning

[Paper Summary] UNet 3+: A Full-Scale Connected UNET For Medical Image Segmentation

Nikhil Tomar5th February 20245th February 2024
In medical image analysis, accurately identifying and outlining organs is vital for clinical applications such as diagnosis and treatment planning. The UNet architecture, a widely favoured choice for these tasks,...
ResUNET: A TensorFlow Implementation for Semantic Segmentation
Computer Vision Deep Learning TensorFlow

ResUNET: A TensorFlow Implementation for Semantic Segmentation

Nikhil Tomar1st February 20241st February 2024
In computer vision and medical image analysis, semantic segmentation plays a pivotal role in understanding and interpreting visual data. One of the prominent architectures in this domain is ResUNet, a...

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