AIMC Topic: Spleen

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Automatic abdominal multi-organ segmentation using deep convolutional neural network and time-implicit level sets.

International journal of computer assisted radiology and surgery Nov 24, 2016
PURPOSE: Multi-organ segmentation from CT images is an essential step for computer-aided diagnosis and surgery planning. However, manual delineation of the organs by radiologists is tedious, time-consuming and poorly reproducible. Therefore, we propo...
Humans Neural Networks, Computer Algorithms Tomography, X-Ray Computed Imaging, Three-Dimensional Kidney Abdomen Spleen Liver Probability Automation
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Simple enucleation for the treatment of highly complex renal tumors: Perioperative, functional and oncological results.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology Apr 24, 2015
AIM: To assess the role of simple enucleation (SE) for the treatment of highly complex renal tumors.
Kaplan-Meier Estimate Carcinoma, Renal Cell Disease-Free Survival Splenectomy Aged Nephrectomy Treatment Outcome Predictive Value of Tests Humans Nephrons Kidney Neoplasms Adult Perioperative Period Glomerular Filtration Rate Retrospective Studies Robotics Organ Sparing Treatments Spleen Male Female Neoplasm Staging Follow-Up Studies Middle Aged Neoplasm Grading
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Robotic left colon cancer resection: a dual docking technique that maximizes splenic flexure mobilization.

Surgical endoscopy Aug 27, 2014
BACKGROUND: Techniques for robotic resection of the left colon are not well defined and have not been widely adopted due to limited range of motion of the robotic arms. We have developed a dual docking technique for both the splenic flexure and the p...
Spleen Laparoscopy Colon, Transverse Colonic Neoplasms Retrospective Studies Colectomy Female Male Aged Humans Middle Aged Adult Robotics
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Partial robotic splenectomy in hydatid disease.

Langenbeck's archives of surgery Jun 29, 2010
Spleen Splenectomy Echinococcosis Humans Robotics Robotic Surgical Procedures
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RSNA 2023 Abdominal Trauma AI Challenge: Review and Outcomes.

Radiology. Artificial intelligence Jan 1, 2025
Purpose To evaluate the performance of the winning machine learning models from the 2023 RSNA Abdominal Trauma Detection AI Challenge. Materials and Methods The competition was hosted on Kaggle and took place between July 26 and October 15, 2023. The...
Retrospective Studies Tomography, X-Ray Computed Spleen Abdominal Injuries Humans Machine Learning
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A nomogram for predicting prognosis in patients with transjugular intrahepatic portosystemic shunt creation based on deep learning-derived spleen volume-to-platelet ratio.

The British journal of radiology Feb 28, 2024
OBJECTIVES: The objective of our study was to develop a nomogram to predict post-transjugular intrahepatic portosystemic shunt (TIPS) survival in patients with cirrhosis based on CT images.
Prognosis Retrospective Studies Deep Learning Nomograms Humans Spleen Portasystemic Shunt, Transjugular Intrahepatic
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Deep Learning-based U-Mamba Model to Predict Differentiated Gastric Cancer using Radiomics Features from Spleen Segmentation.

Current medical imaging Jan 1, 2024
OBJECTIVE: This study aimed to develop an automated method for segmenting spleen computed tomography (CT) images using a deep learning model to address the limitations of manual segmentation, which is known to be susceptible to inter-observer variabi...
Aged Nomograms Aged, 80 and over Spleen Humans Adult Tomography, X-Ray Computed Stomach Neoplasms Female Radiomics Male Middle Aged Deep Learning
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[The Clinical Effectiveness of Neural Network-based Boundary Recognition of Upper Abdominal Organs on CT Images].

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition Mar 1, 2021
OBJECTIVE: To assess the clinical effectiveness of boundary recognition of upper abdomen organs on CT images based on neural network model and the combination of different slices.
Humans Neural Networks, Computer Spleen Tomography, X-Ray Computed Abdomen Treatment Outcome
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Deep Learning Algorithm for Automated Segmentation and Volume Measurement of the Liver and Spleen Using Portal Venous Phase Computed Tomography Images.

Korean journal of radiology Aug 1, 2020
OBJECTIVE: Measurement of the liver and spleen volumes has clinical implications. Although computed tomography (CT) volumetry is considered to be the most reliable noninvasive method for liver and spleen volume measurement, it has limited application...
Adult Male Middle Aged Deep Learning Algorithms Tomography, X-Ray Computed Female Liver Diseases Spleen Liver Organ Size Hepatectomy Portal Vein Humans
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Elucidating the interaction dynamics between microswimmer body and immune system for medical microrobots.

Science robotics Jun 17, 2020
The structural design parameters of a medical microrobot, such as the morphology and surface chemistry, should aim to minimize any physical interactions with the cells of the immune system. However, the same surface-borne design parameters are also c...
Microtechnology Spleen Immune System Biomimetic Materials Magnetics Equipment Design Hydrodynamics Humans Phagocytosis Motion Cells, Cultured Biomimetics Macrophages Immunotherapy Animals Cell Line Mice Robotics
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