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Detection of COVID-19 Using Medical Image Processing
Since the outbreak of COVID-19, several human life has been affected in many aspects and witness huge death cases. Ultimately, the World Health...
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Post-processing of Medical Image for Neurosurgical Planning with Academic Purposes
Magnetic resonance imaging (MRI) and computerized tomography (CT) scans are routinely performed in patients who must undergo neurosurgery. Due to the...
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A Secure Medical Image Processing Scheme for Detection of Pneumonia Using Transfer Learning
Medical image processing plays a crucial role in the diagnosis and treatment of diverse diseases. The advancements in deep learning and transfer...
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2D Medical Image Segmentation
This paper studies and proceeds with different types of medical data. Medical image analysis always deals with challenges of good and diagnosing of...
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Convolutional Neural Network in Medical Image Analysis: A Review
Medical image analysis helps in resolving clinical issues by examining clinically generated images. In today’s world of deep learning (DL) along with...
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Medical Image Processing and Machine Learning: A Study
Machine Learning Field is a rapidly growing field in the research sector since 2 decades and a growing field in the medical imaging processing...
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Exploring the Potential of Deep Learning Algorithms in Medical Image Processing: A Comprehensive Analysis
In this study, we comprehensively examine the potential of deep learning algorithms in the domain of medical image processing. Through a systematic...
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Deep Learning for Medical Image Analysis
Medical image analysis aims to enhance medical outcomes by using images of internal body parts for purposes such as research and diagnosis. The field...
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A Parallel DNA Crypto Algorithm for Medical Image
In health care, due to COVID-19 pandemic, doctors and patients are preferring online tele consultancy. In online tele consultancy, diagnosis of the...
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Medical Image Processing by Swarm-Based Methods
Medical imaging is a very important tool to evaluate some health problems and to define treatments. Several techniques are currently used to obtain...
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Multi-Consistency Training for Semi-Supervised Medical Image Segmentation
Medical image segmentation is a crucial task in clinical applications. However, obtaining labeled data for medical images is often challenging. This...
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Image Processing
Many applications of digitalization have become independent scientific fields. The digital representation of an image consists of pixels. Each pixel...
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Machine Learning in Medical Image Processing
Medical images provide information that can be used to detect and diagnose a variety of diseases and abnormalities. Because cardiovascular disorders...
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Advantages of transformer and its application for medical image segmentation: a survey
PurposeConvolution operator-based neural networks have shown great success in medical image segmentation over the past decade. The U-shaped network...
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Medical Image Data Security Risk Identification Based on 6G Wireless Sensor Networks and AI-Assisted Technology
This study presents a novel technique to protect medical image data from security risks under 6G wireless technology-based communications called...
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Photonic signal processor based on a Kerr microcomb for real-time video image processing
Signal processing has become central to many fields, from coherent optical telecommunications, where it is used to compensate signal impairments, to...
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Determination of quality classes for material extrusion additive manufacturing using image processing
Tools for implementing a systematic quality management are necessary for the use of material extrusion as an additive manufacturing process for...
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Cytopathology image analysis method based on high-resolution medical representation learning in medical decision-making system
Artificial intelligence has made substantial progress in many medical application scenarios. The quantity and complexity of pathology images are...
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Medical Image Segmentation Using Deep Learning Method
Image segmentation is a subset of digital image processing that has various uses in the areas of visualisation, augmented reality, machine vision,...
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Design of Energy-Efficient Approximate Arithmetic Circuits for Error Tolerant Medical Image Processing Applications
Medical image processing encompasses the use and investigation of human body image collections, usually from a Computed Tomography (CT) to diagnose...