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Deep Learning Approaches in Medical Image Segmentation

KDnuggets

Medical imaging has been revolutionized by the adoption of deep learning techniques. The use of this branch of machine learning has ushered in a new era of precision and efficiency in medical image segmentation, a central analytical process in modern healthcare diagnostics and treatment planning.

Medical 103
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Decision Tree Algorithm in Machine Learning: Types, Examples

Knowledge Hut

Machine Learning is an interdisciplinary field of study and is a sub-domain of Artificial Intelligence. It gives computers the ability to learn and infer from a huge amount of homogeneous data, without having to be programmed explicitly. Before dwelling on this article, let's know more about r squared meaning here.

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How to get datasets for Machine Learning?

Knowledge Hut

Datasets play a crucial role and are at the heart of all Machine Learning models. Machine Learning without data sets will not exist because ML depends on data sets to bring out relevant insights and solve real-world problems. Quality data is therefore important to ensure the efficacy of a machine learning model.

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Pattern Recognition in Machine Learning [Basics & Examples]

Knowledge Hut

Pattern recognition is used in a wide variety of applications, including Image processing, Speech recognition, Biometrics, Medical diagnosis, and Fraud detection. To build a strong foundation and to stay updated on the concepts of Pattern recognition you can enroll in the Machine Learning course that would keep you ahead of the crowd.

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Medical Datasets for Machine Learning: Aims, Types and Common Use Cases

AltexSoft

Everyday the global healthcare system generates tons of medical data that — at least, theoretically — could be used for machine learning purposes. Medical Data: What to Consider When Working with Healthcare Information. In the medical sphere, sensitive details are called protected health information or PHI.

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Anomaly Detection with Machine Learning Overview

Knowledge Hut

Machine learning for anomaly detection is crucial in identifying unusual patterns or outliers within data. By learning from historical data, machine learning algorithms autonomously detect deviations, enabling timely risk mitigation. Why do You Need Machine Learning for Anomaly Detection?

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Machine Learning in Health Care: Applications, Job Outlook

Knowledge Hut

Ever wondered how machine learning can revolutionize the healthcare industry? Machine learning is a way in which artificial intelligence is used to train algorithms or computers. The latest developments have empowered these algorithms to prompt or better even to take actions, as needed.