AIMC Topic: Pancreas
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Deep Learning Models for Abdominal CT Organ Segmentation in Children: Development and Validation in Internal and Heterogeneous Public Datasets.
AJR. American journal of roentgenology
May 1, 2024
Deep learning abdominal organ segmentation algorithms have shown excellent results in adults; validation in children is sparse. The purpose of this article is to develop and validate deep learning models for liver, spleen, and pancreas segmentation...
Application of artificial intelligence in pancreas endoscopic ultrasound imaging- A systematic review.
Computer methods and programs in biomedicine
Apr 29, 2024
The pancreas is a vital organ in digestive system which has significant health implications. It is imperative to evaluate and identify malignant pancreatic lesions promptly in light of the high mortality rate linked to such malignancies. Endoscopic U...
Deep causal learning for pancreatic cancer segmentation in CT sequences.
Neural networks : the official journal of the International Neural Network Society
Apr 9, 2024
Segmenting the irregular pancreas and inconspicuous tumor simultaneously is an essential but challenging step in diagnosing pancreatic cancer. Current deep-learning (DL) methods usually segment the pancreas or tumor independently using mixed image fe...
Precise highlighting of the pancreas by semantic segmentation during robot-assisted gastrectomy: visual assistance with artificial intelligence for surgeons.
Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association
Apr 4, 2024
BACKGROUND: A postoperative pancreatic fistula (POPF) is a critical complication of radical gastrectomy for gastric cancer, mainly because surgeons occasionally misrecognize the pancreas and fat during lymphadenectomy. Therefore, this study aimed to ...
nnU-Net-Based Pancreas Segmentation and Volume Measurement on CT Imaging in Patients with Pancreatic Cancer.
Academic radiology
Feb 12, 2024
RATIONALE AND OBJECTIVES: To develop and validate a deep learning (DL)-based method for pancreas segmentation on CT and automatic measurement of pancreatic volume in pancreatic cancer.
Automated pancreatic segmentation and fat fraction evaluation based on a self-supervised transfer learning network.
Computers in biology and medicine
Jan 17, 2024
Accurate segmentation of the pancreas from abdominal computed tomography (CT) images is challenging but essential for the diagnosis and treatment of pancreatic disorders such as tumours and diabetes. In this study, a dataset with 229 sets of high-res...
[Robotic pancreatic surgery].
Chirurgie (Heidelberg, Germany)
Dec 14, 2023
Robotic operations as a further development of conventional laparoscopic surgery have been introduced for nearly all interventions in visceral surgery during the last decade. They also currently have a high importance and acceptance in pancreatic sur...
Artificial intelligence assisted endoscopic ultrasound for detection of pancreatic space-occupying lesion: a systematic review and meta-analysis.
International journal of surgery (London, England)
Dec 1, 2023
BACKGROUND: Diagnosing pancreatic lesions, including chronic pancreatitis, autoimmune pancreatitis, and pancreatic cancer, poses a challenge and, as a result, is time-consuming. To tackle this issue, artificial intelligence (AI) has been increasingly...
Large-scale pancreatic cancer detection via non-contrast CT and deep learning.
Nature medicine
Nov 20, 2023
Pancreatic ductal adenocarcinoma (PDAC), the most deadly solid malignancy, is typically detected late and at an inoperable stage. Early or incidental detection is associated with prolonged survival, but screening asymptomatic individuals for PDAC usi...
[Current CT developments in imaging of pancreatic diseases].
Radiologie (Heidelberg, Germany)
Nov 10, 2023
BACKGROUND: Diseases of the pancreas are often diagnosed late and can have fatal consequences for patients.
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