AIMC Topic: Image Interpretation, Computer-Assisted

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Automated curation of large-scale cancer histopathology image datasets using deep learning.

Histopathology Feb 26, 2024
BACKGROUND: Artificial intelligence (AI) has numerous applications in pathology, supporting diagnosis and prognostication in cancer. However, most AI models are trained on highly selected data, typically one tissue slide per patient. In reality, espe...
Deep Learning Humans Image Processing, Computer-Assisted Neural Networks, Computer Image Interpretation, Computer-Assisted Colorectal Neoplasms
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An Automated Heart Shunt Recognition Pipeline Using Deep Neural Networks.

Journal of imaging informatics in medicine Feb 22, 2024
Automated recognition of heart shunts using saline contrast transthoracic echocardiography (SC-TTE) has the potential to transform clinical practice, enabling non-experts to assess heart shunt lesions. This study aims to develop a fully automated and...
Humans Microbubbles Neural Networks, Computer Female Adult Male Echocardiography Middle Aged Contrast Media Image Interpretation, Computer-Assisted
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Improved 3D DESS MR neurography of the lumbosacral plexus with deep learning and geometric image combination reconstruction.

Skeletal radiology Feb 22, 2024
OBJECTIVE: To evaluate the impact of deep learning (DL) reconstruction in enhancing image quality and nerve conspicuity in LSP MRN using DESS sequences. Additionally, a geometric image combination (GIC) method to improve DESS signals' combination was...
Humans Prospective Studies Middle Aged Image Interpretation, Computer-Assisted Deep Learning Image Enhancement Imaging, Three-Dimensional Lumbosacral Plexus Female Magnetic Resonance Imaging Adult Male
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Auto-segmentation of Adult-Type Diffuse Gliomas: Comparison of Transfer Learning-Based Convolutional Neural Network Model vs. Radiologists.

Journal of imaging informatics in medicine Feb 21, 2024
Segmentation of glioma is crucial for quantitative brain tumor assessment, to guide therapeutic research and clinical management, but very time-consuming. Fully automated tools for the segmentation of multi-sequence MRI are needed. We developed and p...
Adult Brain Neoplasms Male Middle Aged Deep Learning Glioma Humans Neural Networks, Computer Female Magnetic Resonance Imaging Radiologists Image Interpretation, Computer-Assisted
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Usefulness of pituitary high-resolution 3D MRI with deep-learning-based reconstruction for perioperative evaluation of pituitary adenomas.

Neuroradiology Feb 19, 2024
PURPOSE: To evaluate the diagnostic value of T1-weighted 3D fast spin-echo sequence (CUBE) with deep learning-based reconstruction (DLR) for depiction of pituitary adenoma and parasellar regions on contrast-enhanced MRI.
Image Interpretation, Computer-Assisted Neoplasm, Residual Magnetic Resonance Imaging Pituitary Neoplasms Adenoma Aged Adult Male Imaging, Three-Dimensional Humans Contrast Media Retrospective Studies Middle Aged Female Deep Learning
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Comments on "A Channel-Dimensional Feature-Reconstructed Deep Learning Model for Predicting Breast Cancer Molecular Subtypes on Overall b-Value Diffusion-Weighted MRI".

Journal of magnetic resonance imaging : JMRI Feb 17, 2024
Diffusion Magnetic Resonance Imaging Female Breast Neoplasms Deep Learning Image Processing, Computer-Assisted Breast Image Interpretation, Computer-Assisted Humans
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Responds to the Comments on "A Channel-Dimensional Feature-Reconstructed Deep Learning Model for Predicting Breast Cancer Molecular Subtypes on Overall b-Value Diffusion-Weighted MRI".

Journal of magnetic resonance imaging : JMRI Feb 16, 2024
Breast Neoplasms Deep Learning Image Processing, Computer-Assisted Humans Female Breast Image Interpretation, Computer-Assisted Diffusion Magnetic Resonance Imaging
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Development and Validation of Interpretable Machine Learning Models for Clinically Significant Prostate Cancer Diagnosis in Patients With Lesions of PI-RADS v2.1 Score ≥3.

Journal of magnetic resonance imaging : JMRI Feb 16, 2024
BACKGROUND: For patients with PI-RADS v2.1 ≥ 3, prostate biopsy is strongly recommended. Due to the unsatisfactory positive rate of biopsy, improvements in clinically significant prostate cancer (csPCa) risk assessments are required.
Humans Machine Learning Retrospective Studies Reproducibility of Results Prostatic Neoplasms Prostate-Specific Antigen Prostate Diffusion Magnetic Resonance Imaging Echo-Planar Imaging Biopsy Image Interpretation, Computer-Assisted Risk Assessment ROC Curve Magnetic Resonance Imaging Aged Male Middle Aged
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Artificial Intelligence for Breast Ultrasound: Expert Panel Narrative Review.

AJR. American journal of roentgenology Feb 14, 2024
Breast ultrasound is used in a wide variety of clinical scenarios, including both diagnostic and screening applications. Limitations of ultrasound, however, include its low specificity and, for automated breast ultrasound screening, the time necessar...
Breast Neoplasms Ultrasonography, Mammary Image Interpretation, Computer-Assisted Humans Artificial Intelligence Female
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Accurate Liver Fibrosis Detection Through Hybrid MRMR-BiLSTM-CNN Architecture with Histogram Equalization and Optimization.

Journal of imaging informatics in medicine Feb 13, 2024
The early detection and accurate diagnosis of liver fibrosis, a progressive and potentially serious liver condition, are crucial for effective medical intervention. Invasive methods like biopsies for diagnosis can be risky and expensive. This researc...
Diagnosis, Computer-Assisted Liver Cirrhosis Liver Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Algorithms
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