AIMC Topic: Image Interpretation, Computer-Assisted

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Using a dual-stream attention neural network to characterize mild cognitive impairment based on retinal images.

Computers in biology and medicine Sep 9, 2023
Mild cognitive impairment (MCI) is a critical transitional stage between normal cognition and dementia, for which early detection is crucial for timely intervention. Retinal imaging has been shown as a promising potential biomarker for MCI. This stud...
Humans Retina Alzheimer Disease Image Interpretation, Computer-Assisted Aged, 80 and over Male Cognitive Dysfunction Tomography, Optical Coherence Neural Networks, Computer Female Aged
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Deep Learning Reconstruction to Improve the Quality of MR Imaging: Evaluating the Best Sequence for T-category Assessment in Non-small Cell Lung Cancer Patients.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine Sep 1, 2023
PURPOSE: Deep learning reconstruction (DLR) has been recommended as useful for improving image quality. Moreover, compressed sensing (CS) or DLR has been proposed as useful for improving temporal resolution and image quality on MR sequences in differ...
Middle Aged Lung Deep Learning Imaging, Three-Dimensional Aged, 80 and over Adult Male Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Signal-To-Noise Ratio Multidetector Computed Tomography Image Processing, Computer-Assisted Lung Neoplasms Carcinoma, Non-Small-Cell Lung Contrast Media Humans Retrospective Studies Female Aged
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Editorial for "Detecting Adverse Pathology of Prostate Cancer With a Deep Learning Approach Based on a 3D Swin-Transformer Model and Biparametric MRI: A Multicenter Retrospective Study".

Journal of magnetic resonance imaging : JMRI Aug 28, 2023
Multicenter Studies as Topic Prostatic Neoplasms Prostate Image Interpretation, Computer-Assisted Deep Learning Imaging, Three-Dimensional Magnetic Resonance Imaging Humans Retrospective Studies Male
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Detecting Adverse Pathology of Prostate Cancer With a Deep Learning Approach Based on a 3D Swin-Transformer Model and Biparametric MRI: A Multicenter Retrospective Study.

Journal of magnetic resonance imaging : JMRI Aug 21, 2023
BACKGROUND: Accurately detecting adverse pathology (AP) presence in prostate cancer patients is important for personalized clinical decision-making. Radiologists' assessment based on clinical characteristics showed poor performance for detecting AP p...
Prostatectomy Aged Humans Magnetic Resonance Imaging Deep Learning Sensitivity and Specificity Retrospective Studies Prostatic Neoplasms ROC Curve Male Reproducibility of Results Prostate Imaging, Three-Dimensional Middle Aged Image Interpretation, Computer-Assisted
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3D Breast Cancer Segmentation in DCE-MRI Using Deep Learning With Weak Annotation.

Journal of magnetic resonance imaging : JMRI Aug 19, 2023
BACKGROUND: Deep learning models require large-scale training to perform confidently, but obtaining annotated datasets in medical imaging is challenging. Weak annotation has emerged as a way to save time and effort.
Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Contrast Media Magnetic Resonance Imaging Humans Breast Retrospective Studies Reproducibility of Results Female Middle Aged Aged Deep Learning Adult Imaging, Three-Dimensional Breast Neoplasms
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Editorial for "3D Breast Cancer Segmentation in DCE-MRI Using Deep Learning With Weak Annotation".

Journal of magnetic resonance imaging : JMRI Aug 14, 2023
Magnetic Resonance Imaging Breast Image Interpretation, Computer-Assisted Humans Female Breast Neoplasms Deep Learning Imaging, Three-Dimensional Contrast Media
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High-Order Correlation-Guided Slide-Level Histology Retrieval With Self-Supervised Hashing.

IEEE transactions on pattern analysis and machine intelligence Aug 7, 2023
Histopathological Whole Slide Images (WSIs) play a crucial role in cancer diagnosis. It is of significant importance for pathologists to search for images sharing similar content with the query WSI, especially in the case-based diagnosis. While slide...
Humans Algorithms Neoplasms Cluster Analysis Pattern Recognition, Automated Pathology Histology Unsupervised Machine Learning Supervised Machine Learning Image Interpretation, Computer-Assisted Datasets as Topic
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SliDL: A toolbox for processing whole-slide images in deep learning.

PloS one Aug 7, 2023
The inspection of stained tissue slides by pathologists is essential for the early detection, diagnosis and monitoring of disease. Recently, deep learning methods for the analysis of whole-slide images (WSIs) have shown excellent performance on these...
Image Interpretation, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Coloring Agents
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Recent developments in cervical cancer diagnosis using deep learning on whole slide images: An Overview of models, techniques, challenges and future directions.

Micron (Oxford, England : 1993) Jul 29, 2023
Integration of whole slide imaging (WSI) and deep learning technology has led to significant improvements in the screening and diagnosis of cervical cancer. WSI enables the examination of all cells on a slide simultaneously and deep learning algorith...
Uterine Cervical Neoplasms Deep Learning Humans Image Interpretation, Computer-Assisted Algorithms Female
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From Compressed-Sensing to Deep Learning MR: Comparative Biventricular Cardiac Function Analysis in a Patient Cohort.

Journal of magnetic resonance imaging : JMRI Jul 12, 2023
BACKGROUND: Conventional segmented, retrospectively gated cine (Conv-cine) is challenged in patients with breath-hold difficulties. Compressed sensing (CS) has shown values in cine imaging but generally requires long reconstruction time. Recent artif...
Adult Humans Female Magnetic Resonance Imaging, Cine Artificial Intelligence Male Heart Ventricles Reproducibility of Results Prospective Studies Middle Aged Image Interpretation, Computer-Assisted Young Adult Retrospective Studies Deep Learning Breath Holding
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