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 ...
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 ...
Abstract: Generally, the extraction of information in the table is done quickly if the table is within a document with a tabular structure. However, in the case of tables presented in the image ...
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