AIMC Topic: Abdomen

Clear Filters Showing 31 to 40 of 240 articles

Liver respiratory-induced motion estimation using abdominal surface displacement as a surrogate: robotic phantom and clinical validation with varied correspondence models.

International journal of computer assisted radiology and surgery May 29, 2024
PURPOSE: This work presents the implementation of an RGB-D camera as a surrogate signal for liver respiratory-induced motion estimation. This study aims to validate the feasibility of RGB-D cameras as a surrogate in a human subject experiment and to ...
Organ Motion Respiration Phantoms, Imaging Humans Abdomen Liver Robotics
View on PubMed DOI

Surgical optomics: hyperspectral imaging and deep learning towards precision intraoperative automatic tissue recognition-results from the EX-MACHYNA trial.

Surgical endoscopy May 24, 2024
BACKGROUND: Hyperspectral imaging (HSI), combined with machine learning, can help to identify characteristic tissue signatures enabling automatic tissue recognition during surgery. This study aims to develop the first HSI-based automatic abdominal ti...
Humans Aged Male Prospective Studies Female Abdomen Hyperspectral Imaging Surgery, Computer-Assisted Middle Aged Deep Learning
View on PubMed DOI

Editorial Comment: Usefulness of a Deep Learning Model for Pediatric Abdominal Organ Segmentation.

AJR. American journal of roentgenology May 15, 2024
Abdomen Humans Deep Learning Child
View on PubMed DOI

Applications of Artificial Intelligence in Acute Abdominal Imaging.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes May 7, 2024
Artificial intelligence (AI) is a rapidly growing field with significant implications for radiology. Acute abdominal pain is a common clinical presentation that can range from benign conditions to life-threatening emergencies. The critical nature of ...
Diagnostic Imaging Artificial Intelligence Humans Tomography, X-Ray Computed Abdomen, Acute Ultrasonography Abdomen
View on PubMed DOI

Commentary to "Robot‑assisted laparoscopic varicocelectomy in a pediatric population''.

Pediatric surgery international Apr 18, 2024
Humans Robotics Child Laparoscopy Abdomen
View on PubMed DOI

Fully automated explainable abdominal CT contrast media phase classification using organ segmentation and machine learning.

Medical physics Apr 17, 2024
BACKGROUND: Contrast-enhanced computed tomography (CECT) provides much more information compared to non-enhanced CT images, especially for the differentiation of malignancies, such as liver carcinomas. Contrast media injection phase information is us...
Automation Radiography, Abdominal Abdomen Contrast Media Humans Machine Learning Tomography, X-Ray Computed Image Processing, Computer-Assisted
View on PubMed DOI

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...
Image Processing, Computer-Assisted Abdomen Liver Algorithms Tomography, X-Ray Computed Artificial Intelligence
View on PubMed DOI

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...
Abdomen Tomography, X-Ray Computed Algorithms Liver Deep Learning
View on PubMed DOI

MOTC: Abdominal Multi-objective Segmentation Model with Parallel Fusion of Global and Local Information.

Journal of imaging informatics in medicine Feb 12, 2024
Convolutional Neural Networks have been widely applied in medical image segmentation. However, the existence of local inductive bias in convolutional operations restricts the modeling of long-term dependencies. The introduction of Transformer enables...
Tomography, X-Ray Computed Image Processing, Computer-Assisted Algorithms Databases, Factual Humans Abdomen Neural Networks, Computer
View on PubMed DOI

Improving abdominal image segmentation with overcomplete shape priors.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Feb 9, 2024
The extraction of abdominal structures using deep learning has recently experienced a widespread interest in medical image analysis. Automatic abdominal organ and vessel segmentation is highly desirable to guide clinicians in computer-assisted diagno...
Tomography, X-Ray Computed Abdomen Diagnosis, Computer-Assisted Neural Networks, Computer
View on PubMed DOI
Popular Topics
Recent Journals