AIMC Topic: Image Interpretation, Computer-Assisted

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Deep learning approaches for breast cancer detection in histopathology images: A review.

Cancer biomarkers : section A of Disease markers Jan 1, 2024
BACKGROUND: Breast cancer is one of the leading causes of death in women worldwide. Histopathology analysis of breast tissue is an essential tool for diagnosing and staging breast cancer. In recent years, there has been a significant increase in rese...
Humans Algorithms Breast Neoplasms Deep Learning Female Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted
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Design and Development of Hypertuned Deep learning Frameworks for Detection and Severity Grading of Brain Tumor using Medical Brain MR images.

Current medical imaging Jan 1, 2024
BACKGROUND: Brain tumor is a grave illness causing worldwide fatalities. The current detection methods for brain tumors are manual, invasive, and rely on histopathological analysis. Determining the type of brain tumor after its detection relies on bi...
Meningioma Deep Learning Glioma Neoplasm Grading Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Brain Neoplasms Magnetic Resonance Imaging
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A hybrid thyroid tumor type classification system using feature fusion, multilayer perceptron and bonobo optimization.

Journal of X-ray science and technology Jan 1, 2024
BACKGROUND: Thyroid tumor is considered to be a very rare form of cancer. But recent researches and surveys highlight the fact that it is becoming prevalent these days because of various factors.
Sensitivity and Specificity Thyroid Gland Ultrasonography Image Interpretation, Computer-Assisted Thyroid Neoplasms Neural Networks, Computer Artificial Intelligence Algorithms Humans
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Research on breast cancer pathological image classification method based on wavelet transform and YOLOv8.

Journal of X-ray science and technology Jan 1, 2024
 Breast cancer is one of the cancers with high morbidity and mortality in the world, which is a serious threat to the health of women. With the development of deep learning, the recognition about computer-aided diagnosis technology is getting higher ...
Algorithms Female Breast Neoplasms Humans Neural Networks, Computer Image Processing, Computer-Assisted Breast Image Interpretation, Computer-Assisted Diagnosis, Computer-Assisted Deep Learning Wavelet Analysis
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An Early Detection and Classification of Alzheimer's Disease Framework Based on ResNet-50.

Current medical imaging Jan 1, 2024
OBJECTIVE: The objective of this study is to develop a more effective early detection system for Alzheimer's disease (AD) using a Deep Residual Network (ResNet) model by addressing the issue of convolutional layers in conventional Convolutional Neura...
Neural Networks, Computer Image Processing, Computer-Assisted Algorithms Humans Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Deep Learning Alzheimer Disease Early Diagnosis
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Deep Learning Models for Coronary Atherosclerosis Detection in Coronary CT Angiography.

Current medical imaging Jan 1, 2024
BACKGROUND: Patients with atherosclerosis have a rather high risk of showing complications, if not diagnosed quickly and efficiently.
Risk Assessment Deep Learning Predictive Value of Tests Humans Neural Networks, Computer Datasets as Topic Wavelet Analysis Computed Tomography Angiography Coronary Angiography Coronary Artery Disease Image Interpretation, Computer-Assisted
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[MOCK MOLE: PRODUCING SYNTHETIC IMAGES THAT RECAPITULATE CONFOCAL PATTERNS OF MELANOCYTIC NEVI VIA DEEP-LEARNING MODELS].

Harefuah Dec 1, 2023
INTRODUCTION: Melanocytic nevi present microscopic patterns, which differ in their associated melanoma risk, and can be non-invasively recognized under Reflectance Confocal Microscopy (RCM).
Microscopy, Confocal Image Interpretation, Computer-Assisted Nevus, Pigmented Skin Neoplasms Deep Learning Humans Melanoma
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Clinical Validation of Artificial Intelligence-Augmented Pathology Diagnosis Demonstrates Significant Gains in Diagnostic Accuracy in Prostate Cancer Detection.

Archives of pathology & laboratory medicine Oct 1, 2023
CONTEXT.—: Prostate cancer diagnosis rests on accurate assessment of tissue by a pathologist. The application of artificial intelligence (AI) to digitized whole slide images (WSIs) can aid pathologists in cancer diagnosis, but robust, diverse evidenc...
Artificial Intelligence Male Biopsy, Needle Prostate Prostatic Neoplasms Humans Image Interpretation, Computer-Assisted
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High-fidelity Database-free Deep Learning Reconstruction for Real-time Cine Cardiac MRI.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
Real-time cine cardiac MRI provides an ECG-free free-breathing alternative to clinical gold-standard ECG-gated breath-hold segmented cine MRI for evaluation of heart function. Real-time cine MRI data acquisition during free breathing snapshot imaging...
Humans Magnetic Resonance Imaging, Cine Retrospective Studies Heart Deep Learning Image Interpretation, Computer-Assisted
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The Current and Future State of AI Interpretation of Medical Images.

The New England journal of medicine May 25, 2023
Forecasting Humans Diagnostic Imaging Artificial Intelligence Image Interpretation, Computer-Assisted
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