Mahak Dhakad

Most deep neural networks (DNNs) based ultrasound (US) medical image analysis models use pre-trained backbones (e.g., ImageNet) for better model generalization. However, the domain gap between natural and medical images causes an inevitable performance bottleneck. It contains over 23,000 images from four US video sub-datasets. To learn robust features from US-4, we propose an US semi-supervised contrastive learning method, named USCL, for pretraining. In order to avoid high similarities between… Mehr zeigen

Most deep neural networks (DNNs) based ultrasound (US) medical image analysis models use pre-trained backbones (e.g., ImageNet) for better model generalization. However, the domain gap between natural and medical images causes an inevitable performance bottleneck. It contains over 23,000 images from four US video sub-datasets. To learn robust features from US-4, we propose an US semi-supervised contrastive learning method, named USCL, for pretraining. In order to avoid high similarities between negative pairs as well as mine abundant visual features from limited US videos, USCL adopts a sample pair generation method to enrich the feature involved in a single step of contrastive optimization. Extensive experiments on several downstream tasks show the superiority of USCL pretraining against ImageNet pretraining and other state-of-the-art (SOTA) pretraining approaches. In particular, USCL pretrained backbone achieves fine-tuning accuracy of over 94% on POCUS dataset, which is 10% higher than 84% of the ImageNet pretrained model. The constructed US-4 dataset and source codes of this work will be made public. Weniger anzeigen

ChatBotForCobots.txt is an innovative Python-based project that leverages the power of Artificial Intelligence (AI) and Machine Learning (ML) to create an intelligent chatbot tailored specifically for collaborative robots (cobots). This cutting-edge chatbot aims to enhance human-robot interaction, making it more intuitive, efficient, and user-friendly in various industrial and collaborative settings.

Build a user-friendly, Python-based chatbot that seamlessly integrates with industrial… Mehr zeigen

ChatBotForCobots.txt is an innovative Python-based project that leverages the power of Artificial Intelligence (AI) and Machine Learning (ML) to create an intelligent chatbot tailored specifically for collaborative robots (cobots). This cutting-edge chatbot aims to enhance human-robot interaction, making it more intuitive, efficient, and user-friendly in various industrial and collaborative settings.

Build a user-friendly, Python-based chatbot that seamlessly integrates with industrial cobots to streamline operations and improve worker productivity. Employ AI and machine learning techniques to enable natural language interactions, task delegation, and real-time assistance. Target potential applications in manufacturing, assembly, logistics, and other industrial settings, aiming to enhance process efficiency and worker satisfaction. Weniger anzeigen

Embark on a groundbreaking journey into the future of identity verification with our state-of-the-art Deep Face Recognition project. Leveraging the power of Python, Artificial Intelligence (AI), and advanced Deep Learning techniques, this project redefines the standards of facial recognition technology.