AIMC Topic: Liver
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Machine learning approaches to detect hepatocyte chromatin alterations from iron oxide nanoparticle exposure.
Scientific reports
Aug 23, 2024
This study focuses on developing machine learning models to detect subtle alterations in hepatocyte chromatin organization due to Iron (II, III) oxide nanoparticle exposure, hypothesizing that exposure will significantly alter chromatin texture. A to...
Deep learning-based automated liver contouring using a small sample of radiotherapy planning computed tomography images.
Radiography (London, England : 1995)
Aug 23, 2024
INTRODUCTION: No study has yet investigated the minimum amount of data required for deep learning-based liver contouring. Therefore, this study aimed to investigate the feasibility of automated liver contouring using limited data.
Focal liver lesion diagnosis with deep learning and multistage CT imaging.
Nature communications
Aug 15, 2024
Diagnosing liver lesions is crucial for treatment choices and patient outcomes. This study develops an automatic diagnosis system for liver lesions using multiphase enhanced computed tomography (CT). A total of 4039 patients from six data centers are...
Assessing the performance of AI-assisted technicians in liver segmentation, Couinaud division, and lesion detection: a pilot study.
Abdominal radiology (New York)
Aug 10, 2024
BACKGROUND: In patients with primary and secondary liver cancer, the number and sizes of lesions, their locations within the Couinaud segments, and the volume and health status of the future liver remnant are key for informing treatment planning. Cur...
Shape prior-constrained deep learning network for medical image segmentation.
Computers in biology and medicine
Jul 29, 2024
We propose a shape prior representation-constrained multi-scale features fusion segmentation network for medical image segmentation, including training and testing stages. The novelty of our training framework lies in two modules comprised of the sha...
Amino acid metabolomics and machine learning-driven assessment of future liver remnant growth after hepatectomy in livers of various backgrounds.
Journal of pharmaceutical and biomedical analysis
Jul 23, 2024
Accurate assessment of future liver remnant growth after partial hepatectomy (PH) in patients with different liver backgrounds is a pressing clinical issue. Amino acid (AA) metabolism plays a crucial role in liver regeneration. In this study, we comb...
Wireless Magnetic Robot for Precise Hierarchical Control of Tissue Deformation.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Jul 23, 2024
Mechanotherapy has emerged as a promising treatment for tissue injury. However, existing robots for mechanotherapy are often designed on intuition, lack remote and wireless control, and have limited motion modes. Herein, through topology optimization...
Neural patient-specific 3D-2D registration in laparoscopic liver resection.
International journal of computer assisted radiology and surgery
Jul 16, 2024
PURPOSE: Augmented reality guidance in laparoscopic liver resection requires the registration of a preoperative 3D model to the intraoperative 2D image. However, 3D-2D liver registration poses challenges owing to the liver's flexibility, particularly...
Needle tracking in low-resolution ultrasound volumes using deep learning.
International journal of computer assisted radiology and surgery
Jul 13, 2024
PURPOSE: Clinical needle insertion into tissue, commonly assisted by 2D ultrasound imaging for real-time navigation, faces the challenge of precise needle and probe alignment to reduce out-of-plane movement. Recent studies investigate 3D ultrasound i...
Virtual tissue microstructure reconstruction across species using generative deep learning.
PloS one
Jul 12, 2024
Analyzing tissue microstructure is essential for understanding complex biological systems in different species. Tissue functions largely depend on their intrinsic tissue architecture. Therefore, studying the three-dimensional (3D) microstructure of t...
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