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Article
Spatiotemporal analysis of contrast-enhanced ultrasound for differentiating between malignant and benign breast lesions
The aim of this study was to apply spatiotemporal analysis of contrast-enhanced ultrasound (CEUS) loops to quantify the enhancement heterogeneity for improving the differentiation between benign and malignant ...
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Article
Open AccessCost-Effectiveness Analysis of Digital Breast Tomosynthesis Added to Synthetic Mammography in Breast Cancer Screening in Brazil
Literature meta-analysis results show that digital breast tomosynthesis (DBT) combined with synthesized two-dimensional (s2D) mammograms can reduce recalls and improve breast cancer detection. Uncertainty rega...
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Article
Open AccessDigital breast tomosynthesis in mammographic screening: false negative cancer cases in the To-Be 1 trial
The randomized controlled trial comparing digital breast tomosynthesis and synthetic 2D mammograms (DBT + SM) versus digital mammography (DM) (the To-Be 1 trial), 2016–2017, did not result in higher cancer det...
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Chapter and Conference Paper
DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms Using Self-adversarial Learning
Asymmetry is a crucial characteristic of bilateral mammograms (Bi-MG) when abnormalities are develo**. It is widely utilized by radiologists for diagnosis. The question of “what the symmetrical Bi-MG would look...
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Chapter and Conference Paper
Synthesis of Contrast-Enhanced Breast MRI Using T1- and Multi-b-Value DWI-Based Hierarchical Fusion Network with Attention Mechanism
Magnetic resonance imaging (MRI) is the most sensitive technique for breast cancer detection among current clinical imaging modalities. Contrast-enhanced MRI (CE-MRI) provides superior differentiation between ...
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Chapter and Conference Paper
GSMorph: Gradient Surgery for Cine-MRI Cardiac Deformable Registration
Deep learning-based deformable registration methods have been widely investigated in diverse medical applications. Learning-based deformable registration relies on weighted objective functions trading off regi...
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Chapter and Conference Paper
Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation and Koos Grade Prediction Based on Semi-supervised Contrastive Learning
Domain adaptation has been widely adopted to transfer styles across multi-vendors and multi-centers, as well as to complement the missing modalities. In this challenge, we proposed an unsupervised domain adapt...
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Chapter and Conference Paper
An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis
Multi-sequence MRI is valuable in clinical settings for reliable diagnosis and treatment prognosis, but some sequences may be unusable or missing for various reasons. To address this issue, MRI synthesis is a ...
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Chapter and Conference Paper
Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework
Tumor infiltration of the recurrent laryngeal nerve (RLN) is a contraindication for robotic thyroidectomy and can be difficult to detect via standard laryngoscopy. Ultrasound (US) is a viable alternative for R...
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Article
Open AccessA survey by the European Society of Breast Imaging on the utilisation of breast MRI in clinical practice
While magnetic resonance imaging (MRI) is considered a helpful diagnostic tool in breast imaging, discussions are ongoing about appropriate protocols and indications. The European Society of Breast Imaging (EU...
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Chapter and Conference Paper
A Comparison Between a Deep Convolutional Neural Network and Radiologists for Classifying Regions of Interest in Mammography
In this paper, we employ a deep Convolutional Neural Network (CNN) for the classification of regions of interest of malignant soft tissue lesions in mammography and show that it performs on par to experienced ...
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Chapter and Conference Paper
Whole Mastectomy Volume Reconstruction from 2D Radiographs and Its Map** to Histology
Women that are diagnosed with breast cancer often undergo surgery to remove either the tumour and some of the surrounding tissue (lumpectomy) or the whole breast (mastectomy). After surgery, the excised tissue...
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Chapter and Conference Paper
Stability of Volumetric Tissue Composition Measured in Serial Screening Mammograms
The purpose of this study is to investigate the categorization and variation of serial mammogram pairs in dense and non-dense classes. When introducing density based stratified screening, the differences in de...
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Chapter and Conference Paper
Towards Spatial Correspondence between Specimen and In-vivo Breast Imaging
Radiological in-vivo imaging, such as X-ray mammography and Magnetic Resonance Imaging (MRI), is used for tumour detection, diagnosis and size determination. After tumour excision, histopathological imaging of...
