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Saliency|driven explainable deep learning in medical imaging


Machine learning and deep learning-based approach in smart ...

Explainable DL model for a healthcare system with the help of data-driven technologies. Vinod et al. [62], 2023, Analyzed the application of AI and ML based ...

Explainable AI in medical imaging - https ://ris.utwen te.nl

Viergever, Explainable artificial intelligence (XAI) in deep learning-based medical image analysis, Med. Image Anal. 79 (Jul. 2022), 102470 ...

What Is Deep Learning? - IBM

As the image data progresses through the layers of the CNN, it starts to recognize larger elements or shapes of the object until it finally ...

Assessing the Trustworthiness of Saliency Maps for Localizing ...

within medical imaging, with recent studies showing potential for key clinical assessments within radiology. (1–3). One major class of deep neural networks is ...

Daniel Rueckert: "Deep learning in medical imaging" - YouTube

New Deep Learning Techniques 2018 "Deep learning in medical imaging: Techniques for image reconstruction, super-resolution and segmentation" ...

Deep learning - Wikipedia

6.8 Bioinformatics; 6.9 Deep Neural Network Estimations; 6.10 Medical image analysis; 6.11 Mobile advertising; 6.12 Image restoration; 6.13 Financial fraud ...

Shallow and deep learning classifiers in medical image analysis

Explainability is a key feature of models that leads systems toward integration into clinical practice. Key points. • Training a shallow ...

Medical image analysis using deep learning algorithms - Frontiers

Explainable artificial intelligence (XAI) in deep learning-based medical image analysis. ... driven deep learning framework. J Ambient Intell Humaniz ...

Deep Learning in Medical Imaging - Neurospine

In this review article, we will explain the history, development, and applications in medical imaging ... Since ML is data-driven learning ...

What is AI? Artificial Intelligence Explained - TechTarget

By analyzing visual information such as camera images and videos using deep learning models, computer vision systems can learn to identify and classify objects ...

A comparison of deep learning performance against health-care ...

Studies comparing the diagnostic performance of deep learning models and health-care professionals based on medical imaging, for any disease, ...

MIT Open Access Articles Explainable deep learning in healthcare

notes and medical images [Mesko, 2017]. Meanwhile, deep learning (DL), a family of machine learning (ML) models based on deep neural networks, ...

Malignant Mesothelioma subtyping of tissue images via sampling ...

... images applying an explainable deep learning network. SPIE Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging. San ...

What Is Machine Learning (ML)? - IBM

Powered by convolutional neural networks, computer vision has applications in photo tagging on social media, radiology imaging in healthcare, and self-driving ...

Research talk: AI in medical imaging: What's next? - YouTube

Research talk: AI in medical imaging: What's next? 1.1K views · 2 ... Machine Learning For Medical Image Analysis - How It Works. JAMA ...

Top 10 AI Image Processing Applications | by API4AI - Medium

The integration of AI, particularly machine learning and deep learning, marked a pivotal shift in image processing. ... healthcare and education ...

Machine learning - Wikipedia

Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from ...

AI & Machine Learning Products & Services | Google Cloud

Fast, scalable, and easy-to-use AI offerings including Vertex AI with Gemini API, video and image analysis, speech recognition, and multi-language ...

24 Cutting-Edge Artificial Intelligence Applications in 2024

AI algorithms can analyze medical images ... If yes, enroll in the AI Engineer Master's Program and learn AI, Data Science with Python, Machine ...

Introduction to Deep Learning - GeeksforGeeks

This is used in applications such as medical imaging, quality control, and image retrieval. Image segmentation: Deep learning models can be used ...