AIMC Topic: Liver

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Algorithms for Liver Segmentation in Computed Tomography Scans: A Historical Perspective.

Sensors (Basel, Switzerland) Mar 8, 2024
Oncology has emerged as a crucial field of study in the domain of medicine. Computed tomography has gained widespread adoption as a radiological modality for the identification and characterisation of pathologies, particularly in oncology, enabling p...
Abdomen Liver Artificial Intelligence Tomography, X-Ray Computed Image Processing, Computer-Assisted Algorithms
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From CNN to Transformer: A Review of Medical Image Segmentation Models.

Journal of imaging informatics in medicine Mar 4, 2024
Medical image segmentation is an important step in medical image analysis, especially as a crucial prerequisite for efficient disease diagnosis and treatment. The use of deep learning for image segmentation has become a prevalent trend. The widely ad...
Humans Neural Networks, Computer Female Liver Ovarian Neoplasms Deep Learning Diagnostic Imaging Image Processing, Computer-Assisted
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Microfracture-coagulation for the real robotic liver parenchymal transection.

Journal of robotic surgery Feb 29, 2024
The use of the robotic approach in liver surgery is exponentially increasing. Although technically the robot introduces several innovative features, the instruments linked with the traditional laparoscopic approach for the liver parenchymal transecti...
Hepatectomy Robotics Humans Fractures, Stress Robotic Surgical Procedures Liver
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Fully-automated multi-organ segmentation tool applicable to both non-contrast and post-contrast abdominal CT: deep learning algorithm developed using dual-energy CT images.

Scientific reports Feb 22, 2024
A novel 3D nnU-Net-based of algorithm was developed for fully-automated multi-organ segmentation in abdominal CT, applicable to both non-contrast and post-contrast images. The algorithm was trained using dual-energy CT (DECT)-obtained portal venous p...
Tomography, X-Ray Computed Abdomen Algorithms Liver Deep Learning
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Segmentation of liver and liver lesions using deep learning.

Physical and engineering sciences in medicine Feb 21, 2024
Segmentation of organs and lesions could be employed for the express purpose of dosimetry in nuclear medicine, assisted image interpretations, and mass image processing studies. Deep leaning created liver and liver lesion segmentation on clinical 3D ...
Magnetic Resonance Imaging Humans Liver Female Male Middle Aged Liver Neoplasms Imaging, Three-Dimensional Deep Learning Image Processing, Computer-Assisted
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Real-Time Tissue Classification Using a Novel Optical Needle Probe for Biopsy.

Applied spectroscopy Feb 19, 2024
Core needle biopsy is a part of the histopathological process, which is required for cancerous tissue examination. The most common method to guide the needle inside of the body is ultrasound screening, which in greater part is also the only guidance ...
Machine Learning Lung Biopsy, Large-Core Needle Animals Kidney Rats Spectrum Analysis Support Vector Machine Male Liver Needles
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Deep Learning for Automated Detection and Localization of Traumatic Abdominal Solid Organ Injuries on CT Scans.

Journal of imaging informatics in medicine Feb 16, 2024
Computed tomography (CT) is the most commonly used diagnostic modality for blunt abdominal trauma (BAT), significantly influencing management approaches. Deep learning models (DLMs) have shown great promise in enhancing various aspects of clinical pr...
Kidney Liver Abdominal Injuries Spleen Middle Aged Deep Learning ROC Curve Sensitivity and Specificity Wounds, Nonpenetrating Male Tomography, X-Ray Computed Humans Aged Retrospective Studies Adult 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 Neural Networks, Computer Algorithms Image Interpretation, Computer-Assisted Humans
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[International multicenter study: robotic vs. laparoscopic major liver resection].

Chirurgie (Heidelberg, Germany) Feb 8, 2024
Robotics Laparoscopy Robotic Surgical Procedures Liver Hepatectomy
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Interactive content-based image retrieval with deep learning for CT abdominal organ recognition.

Physics in medicine and biology Feb 5, 2024
Recognizing the most relevant seven organs in an abdominal computed tomography (CT) slice requires sophisticated knowledge. This study proposed automatically extracting relevant features and applying them in a content-based image retrieval (CBIR) sys...
Liver Lung Tomography, X-Ray Computed Deep Learning Abdomen
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