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An efficient Dense-Resnet for multimodal image fusion using medical image
Nowadays, the visual content of various medical images is increased through multimodal image fusion to gather more information from medical images....
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An overview of computer—aided medical image classification
Medical image classification plays a pivotal role in modern healthcare, aiding in accurate disease diagnosis, treatment planning, and patient...
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Content Based Medical Image Retrieval
Modern healthcare relies heavily on medical imaging, and as a result of its extensive use, image databases, picture archiving, and picture...
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A Reversible Medical Image Watermarking Scheme for Advanced Image Tampering Detection
Medical image protection against tampering attacks remains an ongoing issue, despite the numerous watermarking-based solutions developed thus far....
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Fuzzy-based cross-image pixel contrastive learning for compact medical image segmentation
Existing medical image segmentation ignore the exploration of inter-class similarity and intra-class variability in pixel semantics, and aim to...
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Medical Image Understanding and Analysis 27th Annual Conference, MIUA 2023, Aberdeen, UK, July 19–21, 2023, Proceedings
This book constitutes the proceedings of the 27th Annual Conference on Medical Image Understanding and Analysis, MIUA 2023, which took place...
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A general variation-driven network for medical image synthesis
The significance of medical image synthesis has exponentially grown due to constrained medical resources, making it a critical component in numerous...
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DNA-chaos governed cryptosystem for cloud-based medical image repository
Nowadays, digital medical images have become an essential source for the grand success of e-health technology. At the same time, the massive storage...
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Optimized transfer learning based multi-modal medical image retrieval
Disease diagnosis using the medical image is a very technical and tedious process. Small abnormalities in multiple medical images could be noticed by...
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Medtransnet: advanced gating transformer network for medical image classification
Accurate medical image classification poses a significant challenge in designing expert computer-aided diagnosis systems. While deep learning...
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Interactive medical image segmentation with self-adaptive confidence calibration
Interactive medical image segmentation based on human-in-the-loop machine learning is a novel paradigm that draws on human expert knowledge to assist...
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An efficient similarity metric for 3D medical image registration
In this paper, we develop an efficient mutual information based similarity metric for 3D medical image registration. The efficiency of the metric...
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Medical image segmentation model based on caputo fractional differential
Medical image segmentation technology, as a key work of modern medical such as intelligent medical diagnosis, has attracted a lot of attention....
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The use of generative adversarial networks in medical image augmentation
Generative Adversarial Networks (GANs) have been widely applied in various domains, including medical image analysis. GANs have been utilized in...
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Two-layer Ensemble of Deep Learning Models for Medical Image Segmentation
One of the most important areas in medical image analysis is segmentation, in which raw image data is partitioned into structured and meaningful...
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Improved African vultures optimization algorithm for medical image segmentation
Multi-level threshold image segmentation is widely used in medical image segmentation. Traditional methods for selecting optimal thresholds suffer...
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Deep learning-assisted medical image compression challenges and opportunities: systematic review
Over the preceding decade, there has been a discernible surge in the prominence of artificial intelligence, marked by the development of various...
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Global texture sensitive convolutional transformer for medical image steganalysis
Steganography is often used by hackers or illegal organizations as a vehicle for information interception of medical images. Exchanged between PACS...
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MMNet: a medical image-to-image translation network based on manifold-value correction and manifold matching
Image-to-image translation (I2I) has broad application prospects for assisting physicians in diagnosis of medical image missing scenarios....
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RTNet: a residual t-shaped network for medical image segmentation
Accurate segmentation of lesion areas in medical image analysis can assist clinicians develop more personalized treatment tools, improving treatment...
