Medical Image Understanding and Analysis (MIUA) is a UK-based meeting for the communication of research related to image analysis and its application...

tasks include methods for acquiring, processing, analyzing, and understanding digital images, and extraction of high-dimensional data from the real world...

Medical image computing (MIC) is the use of computational and mathematical methods for solving problems pertaining to medical images and their use for...

simplifies the development of DL models for medical image analysis by providing a range of pre-built components and modules. MONAI is part of a larger suite...

Reverse image search is a content-based image retrieval (CBIR) query technique that involves providing the CBIR system with a sample image that it will...

its 3D structure through image understanding. Typically, the sensor is an image sensor in a camera sensitive to visible light and the input to the method...

its high-dimensional, complex, and nonlinear characteristics further complicate the task of understanding it. Analysis of the latent space geometry of...

In digital image processing and computer vision, image segmentation is the process of partitioning a digital image into multiple image segments, also...

informatics' is the study and implementation of computer science to improve communication, understanding, and management of medical information. It can be...

allowing for a detailed understanding of an image. Bounding box annotation involves drawing rectangular boxes around objects in an image. This technique is...

holistic understanding of complex data, improving model performance in tasks like visual question answering, cross-modal retrieval, text-to-image generation...

(May 2011). "Contour Detection and Hierarchical Image Segmentation" (PDF). IEEE Transactions on Pattern Analysis and Machine Intelligence. 33 (5): 898–916...

design, medical image analysis, climate science, material inspection and board game programs, where they have produced results comparable to and in some...

exploratory data analysis, and a common technique for statistical data analysis, used in many fields, including pattern recognition, image analysis, information...

acquiring digital images (through image sensors), image processing, and image analysis, to reach an understanding of digital images. In general, it deals...

survey of video datasets for human action and activity recognition". Computer Vision and Image Understanding. 117 (6): 633–659. doi:10.1016/j.cviu.2013...

morphological methodologies for image analysis and noise removal. and noise removal In the area of document image understanding, Haralick is responsible for...

as videos and images, the conventional text-based sentiment analysis has evolved into more complex models of multimodal sentiment analysis, which can...

of CNNs include: image and video recognition, recommender systems, image classification, image segmentation, medical image analysis, natural language...

the understanding of the mental states and behaviors of people held by ordinary people, as contrasted with psychology professionals' understanding. The...

science that develops methods and software tools for understanding biological data, especially when the data sets are large and complex. Bioinformatics uses...

analysis, ... The Medical Image Computing and Computer Assisted Intervention Society (the MICCAI Society) is a professional association for medical image...

language models (LLM) and ChatGPT: a medical student perspective". European Journal of Nuclear Medicine and Molecular Imaging. 50 (8): 2248–2249. doi:10...

magnetic resonance imaging). The concept behind true color can help in understanding false color. An image is called a true-color image when it offers a...

disposition and temper", have been seen as "anticipating" the adoption of the Big Five model in subsequent years. The model was built on understanding the relationship...

aspects of the image. An image captioning system involves two sub-tasks. In Image Analysis, features and attributes of an image are detected and labelled,...

adopted by the medical device industry include hazard analysis, fault tree analysis (FTA), failure mode and effects analysis (FMEA), hazard and operability...

line filter for segmentation and visualization of curvilinear structures in medical images" (PDF). Medical Image Analysis. 2 (2): 143–168. doi:10...

Content-based image retrieval, also known as query by image content (QBIC) and content-based visual information retrieval (CBVIR), is the application of...

engineer and computer scientist who is known for his research in machine learning, computer vision, medical image computing, robotics, and control theory...