Towards to robust and generalized medical image segmentation framework
Y Chen - arXiv preprint arXiv:2108.03823, 2021 - arxiv.org
Deep learning-based computer-aided diagnosis is gradually deployed to review and
analyze medical images. However, this paradigm is restricted in real-world clinical …
analyze medical images. However, this paradigm is restricted in real-world clinical …
VertXNet: An Ensemble Method for Vertebrae Segmentation and Identification of Spinal X-Ray
Y Chen, Y Mo, A Readie, G Ligozio, I Mandal… - arXiv preprint arXiv …, 2023 - arxiv.org
Reliable vertebrae annotations are key to perform analysis of spinal X-ray images. However,
obtaining annotation of vertebrae from those images is usually carried out manually due to …
obtaining annotation of vertebrae from those images is usually carried out manually due to …
[PDF][PDF] Automatic lung field segmentation using robust deep learning criteria
MR Al-Eiadeh - International Journal of Hybrid Innovation …, 2021 - gvpress.com
The chest X-Ray image is one of the common image types that describe medical imaging for
medical purposes, its more common than other medical image types like MRI, CT scan, and …
medical purposes, its more common than other medical image types like MRI, CT scan, and …
Automatic Detection and classification of Correct placement of tubes on chest X-rays using deep learning with EfficientNet
In recent years, the rapid growth of data in healthcare has prompted a lot of interest in
artificial intelligence (AI). Powerful AI algorithms are essential for extracting information from …
artificial intelligence (AI). Powerful AI algorithms are essential for extracting information from …
A composite retinal fundus and OCT dataset to grade macular and glaucomatous disorders
Retinopathy represents a group of retinal diseases that causes severe visual impairments
and even blindness. Many researchers have publicly released datasets containing fundus or …
and even blindness. Many researchers have publicly released datasets containing fundus or …
Morphological network: Network with morphological neurons
R Mondal - 2021 - search.proquest.com
Image processing with traditional approaches mainly use the tools of linear systems.
However, linear approaches are not well suited and may even fail to solve problems …
However, linear approaches are not well suited and may even fail to solve problems …
A deep ensemble network for lung segmentation with stochastic weighted averaging
R Karthik, M Srinivasan, K Chandhru - Diagnostic Biomedical Signal and …, 2023 - Elsevier
The lung is a vital organ in the body that is vulnerable to a variety of diseases such as
cancer, COVID-19, and others. Manual methods for identifying nodules and other …
cancer, COVID-19, and others. Manual methods for identifying nodules and other …
[HTML][HTML] 基于非局域注意力和多任务学习的胸部X 线片肺实质分割方法
亮熊， 小林秦， 欣刘 - Sheng Wu Yi Xue Gong Cheng Xue Za Zhi …, 2023 - ncbi.nlm.nih.gov
肺实质的准确分割是计算机辅助影像学诊断肺部疾病的关键。 随着深度学习技术的发展，
基于全卷积网络的图像分割模型取得了很好的效果， 但对于边缘模糊和肺实质密度不均匀的 …
基于全卷积网络的图像分割模型取得了很好的效果， 但对于边缘模糊和肺实质密度不均匀的 …
LSEG: Lung Segmentation for Pulmonary Disease Affected Chest Radiographs
Approximately four million people die due to lung diseases. A shortfall of 42%
pulmonologists is estimated by 2030. This is an indication of overburden on the …
pulmonologists is estimated by 2030. This is an indication of overburden on the …
Incremental Instance Segmentation for Cluttered Baggage Threat Detection
A Nasim, D Velayudhan, AH Ahmed… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
Identification of contraband items from highly oc-cluded baggage of air travelers is a
challenging task even for human experts with very high experience. Many researchers have …
challenging task even for human experts with very high experience. Many researchers have …