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Overview of Semantic Image Segmentation for Clinical Imaging Datasets

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Telemedicine is evolving rapidly and hence the need for quicker transmission of diagnostic clinical images and image processing arises. AI in healthcare has become highly significant with more accurate detection of illnesses using medical imaging datasets. As a result, it helps AI models to understand and track various types of illnesses using computer vision technology. …

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Transformation of Healthcare Through Medical Imaging Annotation

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The technology needs to be in place as its crucial for medical care organisations that seek to provide better patient results. Therefore, medical skilled developers are striving to set up the next generation of software techniques to help medical experts to provide better healthcare to patients. Annotation attributes offer numerous advantages in these continuing efforts. …

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Role of Medical Image Annotation in AI Radiology

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Most clinicians and patients today rely on telemedicine to overcome communication barriers. Therefore, it is important to hire medical content translators as they can deal with multilingual communication with the help of telemedicine. As far as medical image annotation in telemedicine is concerned, it has provided a new dimension to AI in radiology with a …

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Role of Medical Image Annotation in Teeth, Eye Cell and Microscopic Cell Analysis

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Gums are teeth-related concerns that can be treated effectively with the help of AI-driven devices. Besides the structure of teeth, AI in dentistry also help in detecting the distinct types of oral issues. A training data set of the best quality will certainly aid in the ML algorithm to understand the patterns and at the …

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Medical Uses of Image Annotation

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Image annotation in the medical sector is used for diagnosing the illnesses including blood clotting, brain tumours and other neurological disorders. With the help of the MRI or CT scan, ML models can detect illnesses especially if they are trained well with accurately annotated images. The brain injuries or other issues are well annotated and …

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Overview of Medical Image Annotation

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With the rise in advancements in computer vision-based ML models, AI has become highly prevalent today. When there is more utility of training data with the ML algorithm, there will be more options that simplify the process of predicting the results accurately in several cases for the healthcare industry. The annotated medical images are put …

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Teleradiology – A Booming Marketplace

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A radiologist regardless of which country he belongs to can register to offer teleradiology solutions and the payment is instantly transferred into their digital wallet. Well, this platform speaks a lot about the future of teleradiology. Till the time the healthcare institutes and companies obtaining distant radiology services work together in harmony with the help …

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Role of Teleradiology During Shortage of Skilled Clinicians

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Conventional practices of radiology face the concern of supply scarcity when it comes to the availably of medical professionals. As per the AAMC (Association of American Medical Colleges) that was published in the year 2019, there will be a scarcity of close to 122,000 clinicians by 2032 in the United States. The output of radiologists …

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Top Trends in Teleradiology Outsourcing

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With the sudden spike in workload, the teleradiology outsourcing sector has adopted modern and efficient workflow solution systems such as PACS (The Picture Archive and Communication System) and RIS (Radiology Information System) to increase the productivity of radiologists. The add-on attributes and collaboration choices made available with the help of these systems have enabled continuous …

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Teleradiology Outsourcing – Cloud Infrastructure

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The term teleradiology outsourcing means transferring the radiological images for distant diagnosis and reporting by specialists online. Advanced technologies like cloud-based services are made available to healthcare industries and hence the teleradiology outsourcing market is booming like never before. As per the Global Teleradiology Market Survey 2016- 2020, it shows more than 15 per cent …

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