AIMC Journal:
Medical image analysis

Showing 311 to 320 of 684 articles

Fully transformer network for skin lesion analysis.

Medical image analysis Jan 18, 2022
Automatic skin lesion analysis in terms of skin lesion segmentation and disease classification is of great importance. However, these two tasks are challenging as skin lesion images of multi-ethnic population are collected using various scanners in m...
Humans Neural Networks, Computer Endoscopy Image Processing, Computer-Assisted
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ACME: Automatic feature extraction for cell migration examination through intravital microscopy imaging.

Medical image analysis Jan 14, 2022
Cell detection and tracking applied to in vivo fluorescence microscopy has become an essential tool in biomedicine to characterize 4D (3D space plus time) biological processes at the cellular level. Traditional approaches to cell motion analysis by m...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Cell Movement Diagnostic Imaging Intravital Microscopy
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SAFRON: Stitching Across the Frontier Network for Generating Colorectal Cancer Histology Images.

Medical image analysis Dec 29, 2021
Automated synthesis of histology images has several potential applications including the development of data-efficient deep learning algorithms. In the field of computational pathology, where histology images are large in size and visual context is c...
Humans Algorithms Colorectal Neoplasms Deep Learning Image Processing, Computer-Assisted Histological Techniques
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Hyper-fusion network for semi-automatic segmentation of skin lesions.

Medical image analysis Dec 11, 2021
Segmentation of skin lesions is an important step for imaging-based clinical decision support systems. Automatic skin lesion segmentation methods based on fully convolutional networks (FCNs) are regarded as the state-of-the-art for accuracy. When the...
Humans Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Skin Diseases
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An end-to-end approach to segmentation in medical images with CNN and posterior-CRF.

Medical image analysis Nov 27, 2021
Conditional Random Fields (CRFs) are often used to improve the output of an initial segmentation model, such as a convolutional neural network (CNN). Conventional CRF approaches in medical imaging use manually defined features, such as intensity to i...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Magnetic Resonance Imaging
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DeepLesionBrain: Towards a broader deep-learning generalization for multiple sclerosis lesion segmentation.

Medical image analysis Nov 27, 2021
Recently, segmentation methods based on Convolutional Neural Networks (CNNs) showed promising performance in automatic Multiple Sclerosis (MS) lesions segmentation. These techniques have even outperformed human experts in controlled evaluation condit...
Humans Neural Networks, Computer Brain Deep Learning Image Processing, Computer-Assisted Multiple Sclerosis
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ResGANet: Residual group attention network for medical image classification and segmentation.

Medical image analysis Nov 26, 2021
In recent years, deep learning technology has shown superior performance in different fields of medical image analysis. Some deep learning architectures have been proposed and used for computational pathology classification, segmentation, and detecti...
Humans Neural Networks, Computer Disease Progression Image Processing, Computer-Assisted
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Embracing the disharmony in medical imaging: A Simple and effective framework for domain adaptation.

Medical image analysis Nov 26, 2021
Domain shift, the mismatch between training and testing data characteristics, causes significant degradation in the predictive performance in multi-source imaging scenarios. In medical imaging, the heterogeneity of population, scanners and acquisitio...
Humans Machine Learning Magnetic Resonance Imaging Radiography Alzheimer Disease Neuroimaging
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Surgical data science - from concepts toward clinical translation.

Medical image analysis Nov 18, 2021
Recent developments in data science in general and machine learning in particular have transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a new research field that aims to improve the quality of interventional ...
Humans Machine Learning Data Science
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Dermoscopic image retrieval based on rotation-invariance deep hashing.

Medical image analysis Nov 6, 2021
Dermoscopic image retrieval technology can provide dermatologists with valuable information such as similar confirmed skin disease cases and diagnosis reports to assist doctors in their diagnosis. In this study, we design a dermoscopic image retrieva...
Humans Neural Networks, Computer Algorithms
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