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Breast

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Deep Learning k-Space-to-Image Reconstruction Facilitates High Spatial Resolution and Scan Time Reduction in Diffusion-Weighted Imaging Breast MRI.

Journal of magnetic resonance imaging : JMRI Nov 16, 2023
BACKGROUND: For time-consuming diffusion-weighted imaging (DWI) of the breast, deep learning-based imaging acceleration appears particularly promising.
Image Processing, Computer-Assisted Breast Image Interpretation, Computer-Assisted Signal-To-Noise Ratio Diffusion Magnetic Resonance Imaging Breast Neoplasms Middle Aged Deep Learning Reproducibility of Results Aged Adult Retrospective Studies Female Humans Algorithms
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Deep learning based MLC aperture and monitor unit prediction as a warm start for breast VMAT optimisation.

Physics in medicine and biology Nov 16, 2023
. Automated treatment planning today is focussed on non-exact, two-step procedures. Firstly, dose-volume histograms (DVHs) or 3D dose distributions are predicted from the patient anatomy. Secondly, these are converted in multi-leaf collimator (MLC) a...
Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Humans Deep Learning Breast
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Assessment of deep learning-based auto-contouring on interobserver consistency in target volume and organs-at-risk delineation for breast cancer: Implications for RTQA program in a multi-institutional study.

Breast (Edinburgh, Scotland) Nov 15, 2023
PURPOSE: To quantify interobserver variation (IOV) in target volume and organs-at-risk (OAR) contouring across 31 institutions in breast cancer cases and to explore the clinical utility of deep learning (DL)-based auto-contouring in reducing potentia...
Breast Organs at Risk Radiotherapy Planning, Computer-Assisted Female Breast Neoplasms Deep Learning Humans
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Editorial for "A Machine Learning-Based Unenhanced Radiomics Approach to Distinguishing Between Benign and Malignant Breast Lesions Using T2-Weighted and Diffusion-Weighted MRI".

Journal of magnetic resonance imaging : JMRI Nov 10, 2023
Radiomics Magnetic Resonance Imaging Diagnosis, Differential Machine Learning Female Breast Neoplasms Breast Image Interpretation, Computer-Assisted Diffusion Magnetic Resonance Imaging Humans
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A Machine Learning-Based Unenhanced Radiomics Approach to Distinguishing Between Benign and Malignant Breast Lesions Using T2-Weighted and Diffusion-Weighted MRI.

Journal of magnetic resonance imaging : JMRI Nov 7, 2023
BACKGROUND: Breast MRI has been recommended as supplemental screening tool to mammography and breast ultrasound of breast cancer by international guidelines, but its long examination time and use of contrast material remains concerning.
Breast Reproducibility of Results Image Interpretation, Computer-Assisted Aged Diffusion Magnetic Resonance Imaging Adult Magnetic Resonance Imaging Middle Aged Diagnosis, Differential Contrast Media Prospective Studies Humans Area Under Curve Breast Neoplasms Retrospective Studies Machine Learning Radiomics Female
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A Preliminary Investigation into Search and Matching for Tumor Discrimination in World Health Organization Breast Taxonomy Using Deep Networks.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Nov 7, 2023
Breast cancer is one of the most common cancers affecting women worldwide. It includes a group of malignant neoplasms with a variety of biological, clinical, and histopathologic characteristics. There are more than 35 different histologic forms of br...
Humans Artificial Intelligence Female Breast Neoplasms Breast
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Deep learning, radiomics and radiogenomics applications in the digital breast tomosynthesis: a systematic review.

BMC bioinformatics Oct 26, 2023
BACKGROUND: Recent advancements in computing power and state-of-the-art algorithms have helped in more accessible and accurate diagnosis of numerous diseases. In addition, the development of de novo areas in imaging science, such as radiomics and rad...
Radiographic Image Enhancement Humans Female Deep Learning Breast Neoplasms Mammography Breast
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Editorial for "Assessment of Lymphovascular Invasion in Breast Cancer Using a Combined MRI Morphological Features, Radiomics, and Deep Learning Approach Based on Dynamic Contrast-Enhanced MRI".

Journal of magnetic resonance imaging : JMRI Oct 19, 2023
Breast Neoplasms Radiomics Neoplasm Invasiveness Lymphatic Metastasis Humans Breast Deep Learning Contrast Media Female Magnetic Resonance Imaging
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Assessment of Lymphovascular Invasion in Breast Cancer Using a Combined MRI Morphological Features, Radiomics, and Deep Learning Approach Based on Dynamic Contrast-Enhanced MRI.

Journal of magnetic resonance imaging : JMRI Oct 19, 2023
BACKGROUND: Assessment of lymphovascular invasion (LVI) in breast cancer (BC) primarily relies on preoperative needle biopsy. There is an urgent need to develop a non-invasive assessment method.
Middle Aged Deep Learning Cohort Studies Contrast Media Magnetic Resonance Imaging ROC Curve Lymphatic Metastasis Breast Neoplasms Radiomics Cross-Sectional Studies Female Humans Aged Retrospective Studies Neoplasm Invasiveness Adult Breast
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Evaluation of a Deep Learning Reconstruction for High-Quality T2-Weighted Breast Magnetic Resonance Imaging.

Tomography (Ann Arbor, Mich.) Oct 18, 2023
Deep learning (DL) reconstruction techniques to improve MR image quality are becoming commercially available with the hope that they will be applicable to multiple imaging application sites and acquisition protocols. However, before clinical implemen...
Magnetic Resonance Imaging Humans Breast Retrospective Studies Signal-To-Noise Ratio Deep Learning
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