Blogs

3D Lung CT Segmentation in PyTorch

Lung CT segmentation is an important task in the field of medical imaging, as it allows for more accurate diagnosis and treatment planning for lung diseases such as lung cancer, chronic obstructive pulmonary disease (COPD), and pneumonia.

Our world in 100 years: AI’s vision of the future

Unlock the secrets of tomorrow, where AI predicts and visualizes a world beyond our wildest imagination. A glimpse into a world where technology reigns supreme, described by ChatGPT AI and brought to vivid reality by the power of Midjourney AI.

Predicting Stock Prices with a LSTM Model

Predicting stock prices has always been a popular topic in finance and machine learning. Accurate stock price predictions can help investors make informed decisions and maximize their returns. Here, we will use PyTorch and an LSTM model to predict stock prices.

Receptive Field in Deep Convolutional Networks

The receptive field of a convolutional layer in a neural network is the region of the input image that is used to compute the output of a particular neuron in the feature map. It determines the information available to a neuron when making a prediction.

Build an AI Classifier in only 30 lines of code — PyTorch

Deep learning facilitates learning of intricate feature representations in images, making it an ideal technique for classification. Here, you can learn how to build and train a simple end-to-end deep learning classification network.

Liver Segmentation on CT Scans using TensorFlow

Liver segmentation is an important task in medical imaging because it helps to identify the location and size of the liver in CT and MRI scan images, which is essential information for the diagnosis and treatment of various liver diseases.