Search Results for author:
Found 7 papers, 1 papers with code
Computer-Aided Diagnosis of Thoracic Diseases in Chest X-rays using hybrid CNN-Transformer Architecture
Medical imaging has been used for diagnosis of various conditions, making it one of the most powerful resources for effective patient care.
Automatic 3D Multi-modal Ultrasound Segmentation of Human Placenta using Fusion Strategies and Deep Learning
Methods: We propose an automatic three-dimensional multi-modal (B-mode and power Doppler) ultrasound segmentation of the human placenta using deep learning combined with different fusion strategies. We collected data containing Bmode and power Doppler ultrasound scans for 400 studies.
Assessing Encoder-Decoder Architectures for Robust Coronary Artery Segmentation
Coronary artery diseases are among the leading causes of mortality worldwide.
Attention and Pooling based Sigmoid Colon Segmentation in 3D CT images
Pyramid pooling (PyP) and channel-spatial Squeeze and Excitation (csSE) were also used to improve the model performance.
Visual Question Answering in the Medical Domain
Medical visual question answering (Med-VQA) is a machine learning task that aims to create a system that can answer natural language questions based on given medical images.
Natural Language Processing for Information Extraction
With rise of digital age, there is an explosion of information in the form of news, articles, social media, and so on.
Pushing the Limits of Radiology with Joint Modeling of Visual and Textual Information
Recently, there has been increasing interest in the intersection of computer vision and natural language processing.
