Data scarcity and class imbalance remain critical challenges in medical image analysis, particularly for brain tumor MRI segmentation, where subcomponents such as enhancing tumor, non-enhancing tumor, ...

ABSTRACT: A nation’s development depends in part on the quality of its road network. To this end, resources are being deployed to monitor the surface condition of our roads. Applying deep learning to ...

Abstract: In the fields of image recognition and machine learning, data augmentation is crucial for enhancing the generalization ability of models. Traditional data augmentation techniques suffer from ...

This is a python library to augment the training dataset for object detection using YOLO. The images of the objects present in a white/black background are transformed and then placed on various ...

Welcome to BT-CAP, a powerful Python-based tool designed to enhance brain tumor imaging datasets through advanced compositional augmentation techniques. This pipeline leverages state-of-the-art image ...

In machine learning, data is king—but often, we lack enough of it. This is where Data Augmentation becomes invaluable. It’s a method that generates new training samples by applying transformations to ...

AI is so good at writing software that one father asked it to organise his kids’ school lunches. But that doesn’t mean it’s taking over Way back in 2023, Andrej Karpathy, an eminent AI guru, made ...

Traditional dental prosthetics require a significant amount of work, labor, and time. To simplify the process, a method to convert teeth scan images, scanned using an intraoral scanner, into 3D images ...

This research introduces an innovative approach to image classification, by making use of Vision Transformer (ViT) architecture. In fact, Vision Transformers (ViT) have emerged as a promising option ...

The belt conveyor (BC) is the main means of horizontal transportation of bulk materials at mining sites. The sudden fault in BC modules may cause unexpected stops in production lines. With the ...