Adaptive dynamic inference for few-shot left atrium segmentation
Accurate segmentation of the left atrium (LA) from late gadolinium-enhanced cardiac
magnetic resonance (LGE CMR) images is crucial for aiding the treatment of patients with …
magnetic resonance (LGE CMR) images is crucial for aiding the treatment of patients with …
UniMRISegNet: Universal 3D Network for Various Organs and Cancers Segmentation on Multi-Sequence MRI
Three-dimensional organ and cancer segmentation based on multi-sequence MRI is crucial
for assisting clinical diagnosis. However, current automated segmentation methods often …
for assisting clinical diagnosis. However, current automated segmentation methods often …
MRGen: Diffusion-based Controllable Data Engine for MRI Segmentation towards Unannotated Modalities
Medical image segmentation has recently demonstrated impressive progress with deep
neural networks, yet the heterogeneous modalities and scarcity of mask annotations limit the …
neural networks, yet the heterogeneous modalities and scarcity of mask annotations limit the …
Optimizing synthetic data for enhanced pancreatic tumor segmentation
Pancreatic cancer remains one of the leading causes of cancer-related mortality worldwide.
Precise segmentation of pancreatic tumors from medical images is a bottleneck for effective …
Precise segmentation of pancreatic tumors from medical images is a bottleneck for effective …
IPMN Risk Assessment under Federated Learning Paradigm
Accurate classification of Intraductal Papillary Mucinous Neoplasms (IPMN) is essential for
identifying high-risk cases that require timely intervention. In this study, we develop a …
identifying high-risk cases that require timely intervention. In this study, we develop a …
Adaptive Aggregation Weights for Federated Segmentation of Pancreas MRI
Federated learning (FL) enables collaborative model training across institutions without
sharing sensitive data, making it an attractive solution for medical imaging tasks. However …
sharing sensitive data, making it an attractive solution for medical imaging tasks. However …
Leveraging SAM and Learnable Prompts for Pancreatic MRI Segmentation
C Delle Castelle, F Spampinato… - … Incremental Learning in …, 2024 - Springer
Accurate segmentation of the pancreas in magnetic resonance imaging (MRI) is essential for
enhancing diagnostic and therapeutic strategies in pancreatic diseases. In this study, we …
enhancing diagnostic and therapeutic strategies in pancreatic diseases. In this study, we …
Leveraging SAM and Learnable Prompts for Pancreatic MRI Segmentation
G Bellitto, C Spampinato - … , PILM 2024, Held in Conjunction with …, 2024 - books.google.com
Accurate segmentation of the pancreas in magnetic reso-nance imaging (MRI) is essential
for enhancing diagnostic and therapeutic strategies in pancreatic diseases. In this study, we …
for enhancing diagnostic and therapeutic strategies in pancreatic diseases. In this study, we …
Automated pancreatic segmentation in abdominal CT Scans: a Deep Learning Approach
C Villaseca Sitjar - 2024 - upcommons.upc.edu
It is estimated that pancreatic cancer will become the second leading cause of cancer‐
related deaths in Western countries by 2030 [11]. Pancreatic ductal adenocarcinoma is the …
related deaths in Western countries by 2030 [11]. Pancreatic ductal adenocarcinoma is the …