Using the initial data gathered in this study, two deep learning based computer vision approaches ... these were image classification with ResNet-101 and object detection with the Faster R-CNN. Image ...

Abstract: This research presents a deep learning framework designed to automatically detect and classify liver tumors in CT images, leveraging Convolutional Neural Networks (CNNs). The suggested ...

Our deep learning model utilizes a Convolutional Neural Network (CNN) architecture, a powerful technique in image ... using your preferred programming language. We welcome contributions from the ...

It then follows a structured machine learning pipeline including data preprocessing, model building, training, validation, and testing. Data augmentation techniques were applied to improve the model's ...

Deep learning has the advantage of using pretrained image classification models for speeding ... We selected Faster R-CNN as one of the two models for tassel detection in this study due to its ...

In recent decades, image processing and computer vision models have played a vital role in moving object detection ... step is classification using deep ensemble models, where the objects are ...