AIMC Journal:
Medical image analysis

Showing 381 to 390 of 684 articles

DeepHCS: Bright-field to fluorescence microscopy image conversion using multi-task learning with adversarial losses for label-free high-content screening.

Medical image analysis Feb 12, 2021
In this paper, we propose a novel microscopy image translation method for transforming a bright-field microscopy image into three different fluorescence images to observe the apoptosis, nuclei, and cytoplasm of cells, which visualize dead cells, nucl...
Microscopy, Fluorescence Signal-To-Noise Ratio Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19.

Medical image analysis Feb 7, 2021
In recent years, deep learning-based image analysis methods have been widely applied in computer-aided detection, diagnosis and prognosis, and has shown its value during the public health crisis of the novel coronavirus disease 2019 (COVID-19) pandem...
Humans Pandemics COVID-19 Algorithms Deep Learning Image Interpretation, Computer-Assisted Male Tomography, X-Ray Computed Middle Aged Female
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Detection, segmentation, and 3D pose estimation of surgical tools using convolutional neural networks and algebraic geometry.

Medical image analysis Feb 7, 2021
BACKGROUND AND OBJECTIVE: Surgical tool detection, segmentation, and 3D pose estimation are crucial components in Computer-Assisted Laparoscopy (CAL). The existing frameworks have two main limitations. First, they do not integrate all three component...
Humans Neural Networks, Computer Image Processing, Computer-Assisted
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VR-Caps: A Virtual Environment for Capsule Endoscopy.

Medical image analysis Feb 6, 2021
Current capsule endoscopes and next-generation robotic capsules for diagnosis and treatment of gastrointestinal diseases are complex cyber-physical platforms that must orchestrate complex software and hardware functions. The desired tasks for these s...
Capsule Endoscopy Algorithms Humans Endoscopy Neural Networks, Computer Robotics Computer Simulation
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Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan.

Medical image analysis Feb 6, 2021
The recent outbreak of Coronavirus Disease 2019 (COVID-19) has led to urgent needs for reliable diagnosis and management of SARS-CoV-2 infection. The current guideline is using RT-PCR for testing. As a complimentary tool with diagnostic imaging, ches...
COVID-19 Tomography, X-Ray Computed Humans Supervised Machine Learning Japan China Italy
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Global guidance network for breast lesion segmentation in ultrasound images.

Medical image analysis Feb 4, 2021
Automatic breast lesion segmentation in ultrasound helps to diagnose breast cancer, which is one of the dreadful diseases that affect women globally. Segmenting breast regions accurately from ultrasound image is a challenging task due to the inherent...
Image Processing, Computer-Assisted Prostate Ultrasonography Ultrasonography, Mammary Breast Humans Neural Networks, Computer Female Male
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A survey on incorporating domain knowledge into deep learning for medical image analysis.

Medical image analysis Jan 30, 2021
Although deep learning models like CNNs have achieved great success in medical image analysis, the small size of medical datasets remains a major bottleneck in this area. To address this problem, researchers have started looking for external informat...
Deep Learning Image Processing, Computer-Assisted Humans
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Knowledge representation and learning of operator clinical workflow from full-length routine fetal ultrasound scan videos.

Medical image analysis Jan 23, 2021
Ultrasound is a widely used imaging modality, yet it is well-known that scanning can be highly operator-dependent and difficult to perform, which limits its wider use in clinical practice. The literature on understanding what makes clinical sonograph...
Workflow Humans Neural Networks, Computer Computer Simulation Female Retrospective Studies Ultrasonography, Prenatal Pregnancy
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Towards evaluating the robustness of deep diagnostic models by adversarial attack.

Medical image analysis Jan 22, 2021
Deep learning models (with neural networks) have been widely used in challenging tasks such as computer-aided disease diagnosis based on medical images. Recent studies have shown deep diagnostic models may not be robust in the inference process and m...
Humans Neural Networks, Computer
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Applications of deep learning in fundus images: A review.

Medical image analysis Jan 20, 2021
The use of fundus images for the early screening of eye diseases is of great clinical importance. Due to its powerful performance, deep learning is becoming more and more popular in related applications, such as lesion segmentation, biomarkers segmen...
Humans Deep Learning Fundus Oculi Eye Diseases
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