June 24, 2019 - Medical imaging is the procedure used to attain images of the body parts for medical uses in order to identify or study diseases. There are millions of imaging procedures done every week worldwide. Medical imaging is developing rapidly due to developments in image processing techniques including image recognition, analysis, and enhancement.

Digital image processing has been adeptly applied in medical science, increasing efficiency in the study of anatomical structure, diagnosis, surgical planning, treatment planning, research, computer integrated surgery, and many other areas. The emerging field of image processing and artificial ...

This suggests that DLIR offers notable advantages in enhancing cranial CT scan quality, potentially improving diagnostic accuracy and patient care in medical imaging. This study explored the use of automated machine learning (AutoML) for identifying the presence of hemoperitoneum in ultrasonography (USG) images of Morrison’s pouch in trauma patients. Utilizing a dataset of 2200 USG images from 864 patients across multiple South Korean trauma centers, this research study employed Google’s open-source AutoML for model training and validation. The process involved training the model with 1800 images, internal validation with 200 images, and external validation with an additional 200 images from an independent center.

High-level image processing will become part of diagnosis, intervention planning, and treatment; and further standardization will be required. Because of this, medical image processing remains an exciting field of research and applications for health care, medical education, and biomedical research.

It explores how image-processing techniques are essential for enhancing the quality of medical images, supporting clinical decision-making, and advancing medical research in an era where medical imaging is critical for diagnosis, treatment, ...

June 29, 2026 - Discover FDA-cleared, CE-marked 3D medical image processing software that transforms CT and MRI data into models for pre-surgical planning.

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This Special Issue seeks interdisciplinary contributions spanning areas such as radiology, nuclear medicine, ultrasound, interventional imaging, and telemedicine. We welcome works presenting novel algorithms and new applications, as well as those addressing challenges in big data-handling, ...

This document discusses different types of electromagnetic radiation used for imaging. It describes digital images as composed of pixels and notes that digital image processing involves manipulating digital images on a computer. It outlines different levels of image processing from low-level tasks like noise reduction to mid-level tasks like segmentation to high-level tasks like image analysis.

X-Ray Imagery are largely used by doctors, especially for finding issues like fissure or broken bones, also are used in dentistry field or even in other fields of the medicine in order to find objects or materials inside the body.

February 4, 2026 - Medical image processing encompasses ... Resonance Imaging (MRI) scanner to diagnose pathologies or guide medical interventions such as surgical planning, or for research purposes....

Geoff Dougherty is a Professor at the Department of Applied Physics , California State University, Channel Islands. He undertakes research in digital imaging, pattern recognition, medical technology, and radiology. He has written 3 books and over 100 published papers.

May 8, 2024 - The most groundbreaking uses of computer vision today are in medical diagnosis. With the precision of image recognition in processing medical imagery and identifying various conditions, the overall accuracy of diagnostics and early detection ...

Medical imaging physicists who understood the principles of image acquisition and formation, but who typically did not have the specific applied mathematics, computer science, or signal and image processing background to contribute in the algorithm development areas. By being physically located in the medical school while maintaining close ties to engineering through teaching and research, we strove to advance the field by developing new image processing and analysis methodology fully grounded with knowledge of image acquisition physics, anatomy and physiology, and the clinical and scientific questions.

March 22, 2024 - Another area where AI image processing is used in the medical field is segmentation, which involves the AI system analyzing the scan and measuring the volume of an organ or abnormality. When performed manually, medical image segmentation is a time-consuming task that divides the image into parts that represent normal tissue and those that are abnormal.

August 25, 2023 - Processing of medical images, that is, the study of patient data in three-dimensional images is a promising area of clinical medicine. The relevance of the issue contributes to the active development of the market segment: the created software products suggest working with MRI, CT data, and images of other clinical studies. The possibilities of applications are wide, up to the creation of models with implants.

October 1, 2017 - Image preprocessing techniques ... with wide applications such as cancer detection and fingerprint identification using pattern matching, feature extraction, and edge detection algorithms....

Here, modern image processing provides the key to more efficient and accurate, sometimes even automated, diagnosis and therapy planning. At IPE we are engaged in the development of computer-aided diagnostic systems and therapy planning. For this purpose, we do research especially in the field of model-based image registration and automated therapy planning.

June 25, 2025 - By automating this monitoring process, computer vision can help hospitals quickly identify and address any potential safety issues. Automated medical mask detection with deep learning · Computer vision has been used in various healthcare applications to assist medical professionals in making better decisions regarding the treatment of patients. Medical imaging or medical image analysis is one such method that creates a visualization of particular organs and tissues to enable a more accurate diagnosis.