Read 3D NIFTI Images in Python3

Medical imaging is an essential tool in the diagnosis, treatment, and monitoring of various medical conditions. One of the most widely used medical imaging techniques is Magnetic…

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The Intersection over Union (IoU) score is shown between two boxes

What is Intersection over Union (IoU) in Object Detection?

Intersection over Union (IoU) is a popular evaluation metric used in the field of computer vision and object detection. It is used to calculate the overlap between…

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Multithreaded TCP File Transfer in Python

Today, we are going to implement a simple file transfer TCP client-server program in the python programming language. Here, the server is able to handle multiple clients…

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Squeeze & Excitation Network

Squeeze and Excitation Implementation in TensorFlow and PyTorch

The Squeeze and Excitation network is a channel-wise attention mechanism that is used to improve the overall performance of the network. In today’s article, we are going…

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File Transfer using TCP Socket in Python3

In today’s tutorial, we are going to learn to do file transfer using a TCP socket in the python3 programming language. This is the most basic file…

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Human Image Segmentation with DeepLabV3+ in TensorFlow

In this article, you will learn to perform person segmentation with DeepLabV3+ architecture on human images. Here, we will cover the entire process of image segmentation starting…

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cv2.imwrite() – Saving Images in OpenCV Python

In our previous tutorials – cv2.imread() – Read Image using OpenCV Python and cv2.resize() – Resizing Image using OpenCV Python, we have learned to read and resize…

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cv2.resize() – Resizing Image using OpenCV Python

In this tutorial, we will learn to resize an image using OpenCV in the Python programming language. For this, we are using the cv2.resize() function. OpenCV refers…

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cv2.imread() – Read Image using OpenCV Python

In this tutorial, we are going to focus on reading an image using the Python programming language. For this, we are going to use the OpenCV library….

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RESUNET Implementation in PyTorch

This tutorial focuses on implementing the image segmentation architecture called Deep Residual UNET (RESUNET) in the PyTorch framework. It’s an encoder-decoder architecture developed by Zhengxin Zhang et al. for semantic…

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