Medical Image Magnification Based on Original and Estimated Pixel Selection Models [PDF]
Journal of Biomedical Physics and Engineering, 2020 Background: The issue of medial image resolution enhancement is one of the most important topics for medical imaging that helps improve the performance of many post-processing aspects like classification and segmentation towards medical diagnosis ...
O Akbarzadeh +3 more
doaj +1 more source
Role of Computer Aided Diagnosis (CAD) in Medical Imaging
Central Asian Journal of Medical Sciences, 2015 Objectives: We introduce the various methods of image analysis used for CAD. In addition, we provide a guide for the clinician through examples which use the CAD.
Seung Won Shin, Kwang Gi Kim
doaj +1 more source
Why rankings of biomedical image analysis competitions should be interpreted with care
Nature Communications, 2018 Biomedical image analysis challenges have increased in the last ten years, but common practices have not been established yet. Here the authors analyze 150 recent challenges and demonstrate that outcome varies based on the metrics used and that limited ...
Lena Maier-Hein +37 more
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Cytomorphometric Study of Changes in Buccal Mucosal Cells in Alcoholics
Advanced Biomedical Research, 2020 Background: Chronic alcohol consumption carries a high risk for oral and pharyngeal cancers among persons who have never smoked. Excessive alcohol consumption displays cytogenetic changes in oral mucosa cells.
Banushree Chandrasekhar Srinivasamurthy +4 more
doaj +1 more source
Diagnostics, 2023 We sought to develop new quantitative approaches to characterize the spatial distribution of mammographic density and contrast enhancement of suspicious contrast-enhanced mammography (CEM) findings to improve malignant vs.
Matthew M. Miller +2 more
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Slicer-DeepSeg: Open-Source Deep Learning Toolkit for Brain Tumour Segmentation [PDF]
, 2021 Purpose Computerized medical imaging processing assists neurosurgeons to localize tumours precisely. It plays a key role in recent image-guided neurosurgery.
Burgert, Oliver +4 more
core +2 more sources
Computer-assisted image-based risk analysis and planning in lung surgery - a review
Frontiers in Surgery, 2022 In this paper, we give an overview on current trends in computer-assisted image-based methods for risk analysis and planning in lung surgery and present our own developments with a focus on computed tomography (CT) based algorithms and applications.
Stefan Krass +3 more
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DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation [PDF]
, 2015 Automatic organ segmentation is an important yet challenging problem for medical image analysis. The pancreas is an abdominal organ with very high anatomical variability.
Farag, Amal +6 more
core +1 more source
BBDM: Image-to-image Translation with Brownian Bridge Diffusion Models [PDF]
arXiv, 2022 Image-to-image translation is an important and challenging problem in computer vision and image processing. Diffusion models (DM) have shown great potentials for high-quality image synthesis, and have gained competitive performance on the task of image-to-image translation. However, most of the existing diffusion models treat image-to-image translation
arxiv
Classification of Cancerous and Non Cancerous Cells in H & E Breast Cancer Images Using Structure Descriptors [PDF]
, 2021 Computer-assisted earlier detection and diagnosis of breast cancer are possible by analyzing morphological features in histopathology images. In this article, we propose computer-aided tool for accurate detection of the abnormal cells using shapes and ...
et. al., B. Lakshmanan,
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