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The journal covers research in computer vision and image understanding, pattern analysis and recognition, machine intelligence, machine learning, search techniques, document and handwriting analysis, medical image analysis, video and image sequence analysis, content-based retrieval of image and video, and face and gesture recognition.
Medical Image Analysis (MedIA) is a peer-reviewed academic journal which focuses on medical and biological image analysis.The journal publishes papers which contribute to the basic science of analyzing and processing biomedical images acquired through means such as magnetic resonance imaging, ultrasound, computed tomography, nuclear medicine, x-ray, optical and confocal microscopy, among others.
Medical image segmentation is made difficult by low contrast, noise, and other imaging ambiguities. Although there are many computer vision techniques for image segmentation, some have been adapted specifically for medical image computing. Below is a sampling of techniques within this field; the implementation relies on the expertise that ...
The journal is abstracted and indexed in: MEDLINE [2]; PubMed [2]; Science Citation Index Expanded [3]; Scopus [4]; According to the Journal Citation Reports, the journal is ranked 8th out of 170 journals in the category "Computer Science, Interdisciplinary Applications" [5] and 7th out of 204 journals in the category "Radiology, Nuclear Medicine & Medical Imaging" [6], based on its impact factor.
Medical imaging (such as X-ray and photography) is a commonly used tool in dermatology [55] and the development of deep learning has been strongly tied to image processing. Therefore, there is a natural fit between the dermatology and deep learning. Machine learning learning holds great potential to process these images for better diagnoses. [56]
One notable development is the integration of machine learning algorithms into imaging software, enabling automated analysis and interpretation of medical images. For instance, Rajpurkar et al. (2017) demonstrated the effectiveness of deep learning algorithms in pneumonia detection on chest X-rays, showcasing the potential of machine learning ...
Journal of Medical Imaging is a peer-reviewed scientific journal published bimonthly by SPIE. It covers fundamental, applied and translational research on medical imaging . It was established in 2014 and its editor-in-chief is Bennett A. Landman ( Vanderbilt University ).
If the goal is a medical diagnostic, then histology applications will often fall into the realm of digital pathology or automated tissue image analysis, which are sister fields of bioimage informatics. The same computational techniques are often applicable, but the goals are medically- rather than research-oriented.