Current and emerging trends in medical image segmentation with deep learning
PH Conze, G Andrade-Miranda… - … on Radiation and …, 2023 - ieeexplore.ieee.org
In recent years, the segmentation of anatomical or pathological structures using deep
learning has experienced a widespread interest in medical image analysis. Remarkably …
learning has experienced a widespread interest in medical image analysis. Remarkably …
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image
Whole abdominal organ segmentation is important in diagnosing abdomen lesions,
radiotherapy, and follow-up. However, oncologists' delineating all abdominal organs from …
radiotherapy, and follow-up. However, oncologists' delineating all abdominal organs from …
Swinmm: masked multi-view with swin transformers for 3d medical image segmentation
Recent advancements in large-scale Vision Transformers have made significant strides in
improving pre-trained models for medical image segmentation. However, these methods …
improving pre-trained models for medical image segmentation. However, these methods …
Clustering propagation for universal medical image segmentation
Prominent solutions for medical image segmentation are typically tailored for automatic or
interactive setups posing challenges in facilitating progress achieved in one task to another …
interactive setups posing challenges in facilitating progress achieved in one task to another …
MultiR-net: a novel joint learning network for COVID-19 segmentation and classification
CF Li, YD Xu, XH Ding, JJ Zhao, RQ Du, LZ Wu… - Computers in Biology …, 2022 - Elsevier
The outbreak of COVID-19 has caused a severe shortage of healthcare resources. Ground
Glass Opacity (GGO) and consolidation of chest CT scans have been an essential basis for …
Glass Opacity (GGO) and consolidation of chest CT scans have been an essential basis for …
Efficient multi-organ segmentation from 3D abdominal CT images with lightweight network and knowledge distillation
Accurate segmentation of multiple abdominal organs from Computed Tomography (CT)
images plays an important role in computer-aided diagnosis, treatment planning and follow …
images plays an important role in computer-aided diagnosis, treatment planning and follow …
COVID-19 CT ground-glass opacity segmentation based on attention mechanism threshold
The ground glass opacity (GGO) of the lung is one of the essential features of COVID-19.
The GGO in computed tomography (CT) images has various features and low-intensity …
The GGO in computed tomography (CT) images has various features and low-intensity …
CD-Net: Cascaded 3D Dilated convolutional neural network for pneumonia lesion segmentation
J Zhang, S Wang, Z Jiang, Z Chen, X Bai - Computers in Biology and …, 2024 - Elsevier
COVID-19 is a global pandemic that has caused significant global, social, and economic
disruption. To effectively assist in screening and monitoring diagnosed cases, it is crucial to …
disruption. To effectively assist in screening and monitoring diagnosed cases, it is crucial to …
Tgnet: A task-guided network architecture for multi-organ and tumour segmentation from partially labelled datasets
H Wu, S Pang, A Sowmya - 2022 IEEE 19th International …, 2022 - ieeexplore.ieee.org
The cost of labour and expertise makes it challenging to collect a large amount of medical
data and annotate 3D medical images at a voxel level. Most public medical datasets are …
data and annotate 3D medical images at a voxel level. Most public medical datasets are …
[PDF][PDF] COVID-19 Imaging Detection in the Context of Artificial Intelligence and the Internet of Things.
X Gu, S Chen, H Zhu, M Brown - CMES-Computer Modeling in …, 2022 - cdn.techscience.cn
Coronavirus disease 2019 brings a huge burden on the medical industry all over the world.
In the background of artificial intelligence (AI) and Internet of Things (IoT) technologies …
In the background of artificial intelligence (AI) and Internet of Things (IoT) technologies …