AIMC Topic: Diagnostic Imaging

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Clinical applications of graph neural networks in computational histopathology: A review.

Computers in biology and medicine Jun 30, 2023
Pathological examination is the optimal approach for diagnosing cancer, and with the advancement of digital imaging technologies, it has spurred the emergence of computational histopathology. The objective of computational histopathology is to assist...
Image Processing, Computer-Assisted Artificial Intelligence Machine Learning Diagnostic Imaging Neural Networks, Computer
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Federated Partially Supervised Learning With Limited Decentralized Medical Images.

IEEE transactions on medical imaging Jun 30, 2023
Data government has played an instrumental role in securing the privacy-critical infrastructure in the medical domain and has led to an increased need of federated learning (FL). While decentralization can limit the effectiveness of standard supervis...
Diagnostic Imaging Humans Supervised Machine Learning
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Improving Medical Imaging Order Entry With Artificial Intelligence Tools: Insights and Action Items.

Journal of the American College of Radiology : JACR Jun 26, 2023
Diagnostic Imaging Artificial Intelligence Radiography
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Fourier ptychographic and deep learning using breast cancer histopathological image classification.

Journal of biophotonics Jun 26, 2023
Automated, as well as accurate classification with breast cancer histological images, was crucial for medical applications because of detecting malignant tumors via histopathological images. In this work create a Fourier ptychographic (FP) and deep l...
Deep Learning Breast Diagnostic Imaging Female Breast Neoplasms Algorithms Humans
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The synergy of cybernetical intelligence with medical image analysis for deep medicine: A methodological perspective.

Computer methods and programs in biomedicine Jun 20, 2023
CONCEPTUAL INTRODUCTION: To introduce the concept of cybernetical intelligence, deep learning, development history, international research, algorithms, and the application of these models in smart medical image analysis and deep medicine are reviewed...
Algorithms Neural Networks, Computer Diagnostic Imaging Machine Learning Intelligence
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Survival analysis using deep learning with medical imaging.

The international journal of biostatistics Jun 14, 2023
There is widespread interest in using deep learning to build prediction models for medical imaging data. These deep learning methods capture the local structure of the image and require no manual feature extraction. Despite the importance of modeling...
Deep Learning Diagnostic Imaging Glioma Humans Proportional Hazards Models Brain Neoplasms Survival Analysis
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Leveraging mid-infrared spectroscopic imaging and deep learning for tissue subtype classification in ovarian cancer.

The Analyst Jun 12, 2023
Mid-infrared spectroscopic imaging (MIRSI) is an emerging class of label-free techniques being leveraged for digital histopathology. Modern histopathologic identification of ovarian cancer involves tissue staining followed by morphological pattern re...
Ovarian Neoplasms Diagnostic Imaging Deep Learning Spectrophotometry, Infrared Reproducibility of Results Female Humans
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The Effect of Using Artificial Intelligence to Improve Compliance Rates for Imaging Follow-Up Recommendations.

Journal of the American College of Radiology : JACR Jun 9, 2023
Follow-Up Studies Algorithms Diagnostic Imaging Artificial Intelligence
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Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging.

Nature biomedical engineering Jun 8, 2023
Machine-learning models for medical tasks can match or surpass the performance of clinical experts. However, in settings differing from those of the training dataset, the performance of a model can deteriorate substantially. Here we report a represen...
Diagnostic Imaging Supervised Machine Learning Machine Learning
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Deep learning for pneumothorax diagnosis: a systematic review and meta-analysis.

European respiratory review : an official journal of the European Respiratory Society Jun 7, 2023
BACKGROUND: Deep learning (DL), a subset of artificial intelligence (AI), has been applied to pneumothorax diagnosis to aid physician diagnosis, but no meta-analysis has been performed.
Artificial Intelligence Sensitivity and Specificity Humans Diagnostic Imaging Deep Learning Pneumothorax
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