Image segmentation

UNIVERSAL MULTI-MODAL DEEP NETWORK FOR CLASSIFICATION AND SEGMENTATION OF MEDICAL IMAGES

Universal multi-modal deep network for classification and segmentation of medical images

Abstract Medical image processing algorithms have traditionally focused on a specific problem or disease per modality. This approach has continued with the wide-spread adoption of deep learning in the last […]

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Wildfire Segmentation on Satellite Images using Deep Learning

Wildfire Segmentation on Satellite Images using Deep Learning

Abstract Deep learning and convolutional neural network technologies are increasingly used in the problems of analysis, segmentation, and recognition of objects in images. In this article, a convolutional neural network

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DEEP LEARNING BASED SEGMENTATION OF BODY PARTS IN CT LOCALIZERS ANDAPPLICATION TO SCAN PLANNING

Deep Learning Based Segmentation of Body Parts in CT Localizers and Application to Scan Planning

Abstract in this paper, we propose a deep learning approach for the segmentation of body parts in computer tomography (CT) localizer images. Such images pose dif[1]culties in the automatic image

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A Rapid, Accurate and Machine-Agnostic Segmentation and Quantification Method for CT-Based COVID-19 Diagnosis

A Rapid, Accurate and Machine-Agnostic Segmentation and Quantification Method for CT-Based COVID-19 Diagnosis

Abstract COVID-19 has caused a global pandemic and become the most urgent threat to the entire world. Tremendous efforts and resources have been invested in developing diagnosis, prognosis and treatment

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Speed Bump Segmentation an Application of Conditional Generative Adversarial Network for Self-driving Vehicles

Speed Bump Segmentation an Application of Conditional Generative Adversarial Network for Self-driving Vehicles

Abstract The intervention of AI technology and self-driving vehicles changed transportation systems. The current self-driving vehicles demand reliable and accurate information from various functional modules. One of the major modules

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Detection and Recognition of Multiple License Plate From Still Images

Detection and Recognition of Multiple License Plate From Still Images

Abstract License Plate Recognition is the most efficient and cost-effective technique used for vehicle identification purposes. Automatic license plate recognition (ALPR) is used for finding the location of the number

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High-Resolution Encoder–Decoder Networks for Low-Contrast Medical Image Segmentation

High-Resolution Encoder–Decoder Networks for Low-Contrast Medical Image Segmentation

Abstract Automatic image segmentation is an essential step for many medical image analysis applications, include computer-aided radiation therapy, disease diagnosis, and treatment effect evaluation. One of the major challenges for

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Multidisciplinary Approach of Artificial Intelligence over Medical Imaging: A Review, Challenges, Recent Opportunities for Research

Multidisciplinary Approach of Artificial Intelligence over Medical Imaging: A Review, Challenges, Recent Opportunities for Research

Abstract The multidisciplinary approach of artificial intelligence is revolutionizing the traditional technologies used in medical image computing, radiology imaging, medical diagnoses, and features based disease identification [1], [2]. In this

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High-Resolution Encoder-Decoder Networks for Low-Contrast Medical Image Segmentation

High-Resolution Encoder-Decoder Networks for Low-Contrast Medical Image Segmentation

Abstract Automatic image segmentation is an essential step for many medical image analysis applications, include computer-aided radiation therapy, disease diagnosis, and treatment effect evaluation. One of the major challenges for

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Private: Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19

Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19

Abstract: The pandemic of coronavirus disease 2019 (COVID-19) is spreading all over the world. Medical imaging such as X-ray and computed tomography (CT) plays an essential role in the global

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