PET-CT image Co-segmentation of lung tumor using joint level set model
Z Chen, N Qiu, H Feng, D Dai - Computers and Electrical Engineering, 2023 - Elsevier
Accurate lung tumor segmentation plays an important role in radiotherapy and targeted
therapy. Positron emission tomography (PET) and computed tomography (CT) scanner …
therapy. Positron emission tomography (PET) and computed tomography (CT) scanner …
A graph-based approach to automated EUS image layer segmentation and abnormal region detection
Endoscopic ultrasonography (EUS) has shown great advantages in the diagnosis and
staging of gastrointestinal malignant tumors. However, EUS based diagnosis is limited by …
staging of gastrointestinal malignant tumors. However, EUS based diagnosis is limited by …
BRR‐Net: A tandem architectural CNN–RNN for automatic body region localization in CT images
Purpose Automatic identification of consistently defined body regions in medical images is
vital in many applications. In this paper, we describe a method to automatically demarcate …
vital in many applications. In this paper, we describe a method to automatically demarcate …
An improved supervoxel 3D region growing method based on PET/CT multimodal data for segmentation and reconstruction of GGNs
Y Dong, W Yang, J Wang, Z Zhao, S Wang… - Multimedia Tools and …, 2020 - Springer
Among the various types of lung nodules, ground glass nodules (GGNs) are difficult to
segment accurately due to complex morphological characteristics. Moreover, GGNs are …
segment accurately due to complex morphological characteristics. Moreover, GGNs are …
Hybrid PET/MRI co-segmentation based on joint fuzzy connectedness and graph cut
Abstract Background and Objective Tumor segmentation from hybrid PET/MRI scans may be
highly beneficial in radiotherapy treatment planning. Indeed, it gives for both modalities the …
highly beneficial in radiotherapy treatment planning. Indeed, it gives for both modalities the …
Quantification of body‐torso‐wide tissue composition on low‐dose CT images via automatic anatomy recognition
Purpose Quantification of body composition plays an important role in many clinical and
research applications. Radiologic imaging techniques such as Dual‐energy X‐ray …
research applications. Radiologic imaging techniques such as Dual‐energy X‐ray …
[PDF][PDF] C 2 Transformer U-Net: 面向跨模态和上下文语义的医学图像分割模型
周涛， 侯森宝， 陆惠玲， 刘赟璨， 党培 - 电子与信息学报, 2023 - jeit.ac.cn
跨模态的医学图像可以在同一病灶处提供更多的语义信息, 针对U-Net 网络主要使用单模态图像
用于分割, 未充分考虑跨模态, 上下文语义相关性的问题, 该文提出面向跨模态和上下文语义的 …
用于分割, 未充分考虑跨模态, 上下文语义相关性的问题, 该文提出面向跨模态和上下文语义的 …
Hybrid convolutional neural network based segmentation of visceral and subcutaneous adipose tissue from abdominal magnetic resonance images
BS Devi, DS Misbha - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
Globally, obesity is on the rise. According to the world health organization over 300 million
people in the world are obese. India is the third most obese country in the world. It is …
people in the world are obese. India is the third most obese country in the world. It is …
Automatic response assessment in regions of language cortex in epilepsy patients using ECoG-based functional mapping and machine learning
HR Prakash, M Korostenskaja, K Lee… - … on Systems, Man …, 2017 - ieeexplore.ieee.org
Accurate localization of brain regions responsible for language and cognitive functions in
Epilepsy patients should be carefully determined prior to surgery. Electrocorticography …
Epilepsy patients should be carefully determined prior to surgery. Electrocorticography …
Development of a fully convolutional network for the segmentation of adipose tissues on abdominal mri
BS Devi, DS Misbha - Computer Networks, Big Data and IoT: Proceedings …, 2022 - Springer
The excess accumulation of visceral adipose tissue (VAT) and subcutaneous adipose tissue
(SAT) in the abdomen that causes obesity needs to be measured precisely for clinical …
(SAT) in the abdomen that causes obesity needs to be measured precisely for clinical …