Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and effective treatment.

The proposed CNN-based system demonstrates the feasibility and robustness of deep learning for automatic lung nodule detection and classification. Despite strong results, the study acknowledges ...

Add Yahoo as a preferred source to see more of our stories on Google. (Photo credit: "The Joe Rogan Experience") Joe Rogan got his eyebrows all the way up on Wednesday when discussing an image of ...

Joe Rogan got his eyebrows all the way up on Wednesday when discussing an image of Minneapolis ICE shooting victim Alex Pretti that was mistakenly featured on an MS NOW segment which had clearly been ...

In case you've faced some hurdles solving the clue, Celeb's image problem, e.g., we've got the answer for you. Crossword puzzles offer a fantastic opportunity to engage your mind, enjoy leisure time, ...

Abstract: Domain adaptation (DA)-based cross-domain hyperspectral image (HSI) classification methods have garnered significant attention. The majority of DA techniques utilize models based on ...

iPad users will soon have access to a version of the Pixelmator Pro image editing application that previously was a Mac exclusive. Apple promised that the upcoming tablet version of the application ...

Once again, people are taking Grok at its word, treating the chatbot as a company spokesperson without questioning what it says. On Friday morning, many outlets reported that X had blocked universal ...

+This project focuses on building a Convolutional Neural Network (CNN) using Keras (TensorFlow backend) to classify images into two categories: Dog and Cat. + +The objective is to learn meaningful ...

In this video, we will implement Image Classification using CNN Keras. We will build a Cat or Dog Classification model using CNN Keras. Keras is a free and open-source high-level API used for neural ...

Medical image segmentation is a fundamental component of many clinical applications such as computer-aided diagnosis, radiotherapy planning, and preoperative planning. Its accuracy and stability ...