AIMC Topic: Pancreas
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Pancreas Segmentation in MRI using Graph-Based Decision Fusion on Convolutional Neural Networks.
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
Oct 2, 2016
Automated pancreas segmentation in medical images is a prerequisite for many clinical applications, such as diabetes inspection, pancreatic cancer diagnosis, and surgical planing. In this paper, we formulate pancreas segmentation in magnetic resonanc...
Indications, technique, and results of robotic pancreatoduodenectomy.
Updates in surgery
Sep 10, 2016
Robotic assistance improves surgical dexterity in minimally invasive operations, especially when fine dissection and multiple sutures are required. As such, robotic assistance could be rewarding in the setting of robotic pancreatoduodenectomy (RPD). ...
Monitoring vascular normalization induced by antiangiogenic treatment with (18)F-fluoromisonidazole-PET.
Molecular oncology
Dec 22, 2015
BACKGROUND: Rationalization of antiangiogenics requires biomarkers. Vascular re-normalization is one widely accepted mechanism of action for this drug class. The interstitium of tumors with abnormal vasculature is hypoxic. We sought to track vascular...
Antimetabolites, Antineoplastic
Mice, Nude
Animals
Deoxycytidine
Pancreatic Neoplasms
Cell Line, Tumor
Humans
Gemcitabine
Breast
Mice
Female
Misonidazole
Cell Hypoxia
Positron-Emission Tomography
Angiogenesis Inhibitors
Breast Neoplasms
Quinolones
Neovascularization, Pathologic
Pancreas
Fluorine Radioisotopes
Benzimidazoles
Deep-learning based automated pancreas segmentation on CT scans of chronic pancreatitis patients.
European journal of radiology
Aug 1, 2025
OBJECTIVES: This study aimed to develop an artificial intelligence (AI)-based segmentation model for accurate delineation of the complex pancreas in patients with chronic pancreatitis (CP) using computer tomography (CT) scans obtained during routine ...
Pancreas segmentation in CT scans: A novel MOMUNet based workflow.
Computers in biology and medicine
Jul 1, 2025
Automatic pancreas segmentation in CT scans is crucial for various medical applications, including early diagnosis and computer-assisted surgery. However, existing segmentation methods remain suboptimal due to significant pancreas size variations acr...
RRM-TransUNet: Deep-Learning Driven Interactive Model for Precise Pancreas Segmentation in CT Images.
The international journal of medical robotics + computer assisted surgery : MRCAS
Apr 1, 2025
BACKGROUND: Pancreatic diseases such as cancer and pancreatitis pose significant health risks. Early detection requires precise segmentation results. Fully automatic segmentation algorithms cannot integrate clinical expertise and correct output error...
Facing the challenges of autoimmune pancreatitis diagnosis: The answer from artificial intelligence.
World journal of gastroenterology
Mar 28, 2025
Current diagnosis of autoimmune pancreatitis (AIP) is challenging and often requires combining multiple dimensions. There is a need to explore new methods for diagnosing AIP. The development of artificial intelligence (AI) is evident, and it is belie...
[Pancreas segmentation with multi-channel convolution and combined deep supervision].
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Feb 25, 2025
Due to its irregular shape and varying contour, pancreas segmentation is a recognized challenge in medical image segmentation. Convolutional neural network (CNN) and Transformer-based networks perform well but have limitations: CNN have constrained r...
Detection of Peri-Pancreatic Edema using Deep Learning and Radiomics Techniques.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2024
Pancreatitis is a major public health issue world-wide; studies show an increase in the number of people experiencing pancreatitis. Identifying peri-pancreatic edema is a pivotal indicator for identifying disease progression and prognosis, emphasizin...
Artificial intelligence-based tools with automated segmentation and measurement on CT images to assist accurate and fast diagnosis in acute pancreatitis.
The British journal of radiology
Jun 18, 2024
OBJECTIVES: To develop an artificial intelligence (AI) tool with automated pancreas segmentation and measurement of pancreatic morphological information on CT images to assist improved and faster diagnosis in acute pancreatitis.
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