Publications by authors named "S Schindera"

Article Synopsis
  • - This study investigates the effectiveness of an artificial intelligence (AI) algorithm in detecting incidental pulmonary embolisms (iPEs) in chest CT scans, comparing results before and after the AI implementation.
  • - It analyzed data from 5,298 CT scans, revealing that prior to AI use, radiologists missed around 50% of iPE cases, with the AI achieving high sensitivity (95%) and specificity (99%) in identifying suspicious iPEs.
  • - The study also aimed to assess the anatomical distribution of missed iPE cases and evaluate mortality rates in patients within 90 days following the different detection methods.
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In this work, several machine learning (ML) algorithms, both classical ML and modern deep learning, were investigated for their ability to improve the performance of a pipeline for the segmentation and classification of prostate lesions using MRI data. The algorithms were used to perform a binary classification of benign and malignant tissue visible in MRI sequences. The model choices include support vector machines (SVMs), random decision forests (RDFs), and multi-layer perceptrons (MLPs), along with radiomic features that are reduced by applying PCA or mRMR feature selection.

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Background: After breast conserving surgery (BCS), surgical clips indicate the tumor bed and, thereby, the most probable area for tumor relapse. The aim of this study was to investigate whether a U-Net-based deep convolutional neural network (dCNN) may be used to detect surgical clips in follow-up mammograms after BCS.

Methods: 884 mammograms and 517 tomosynthetic images depicting surgical clips and calcifications were manually segmented and classified.

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Article Synopsis
  • Traumatic abdominal wall hernia (TAWH) is a special kind of hernia caused by big hits or injuries to the stomach area, and it can block the intestines.
  • The report talks about a patient who had a delayed problem in their intestines because of TAWH after breaking their hip bone.
  • The patient got better after doctors used a special procedure to fix the hernia and then repaired the broken bone, showing how important it is for different doctors to work together quickly in tough cases like this.
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Objective: To characterize the use and impact of radiation dose reduction techniques in actual practice for routine abdomen CT.

Methods: We retrospectively analyzed consecutive routine abdomen CT scans in adults from a large dose registry, contributed by 95 hospitals and imaging facilities. Grouping exams into deciles by, first, patient size, and second, size-adjusted dose length product (DLP), we summarized dose and technical parameters and estimated which parameters contributed most to between-protocols dose variation.

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