[HTML][HTML] Image analysis and computer vision applications in animal sciences: an overview
Computer Vision, Digital Image Processing, and Digital Image Analysis can be viewed as an
amalgam of terms that very often are used to describe similar processes. Most of this …
amalgam of terms that very often are used to describe similar processes. Most of this …
Lung CT image segmentation using deep neural networks
Lung CT image segmentation is a necessary initial step for lung image analysis, it is a
prerequisite step to provide an accurate lung CT image analysis such as lung cancer …
prerequisite step to provide an accurate lung CT image analysis such as lung cancer …
[HTML][HTML] How ai can help in the diagnostic dilemma of pulmonary nodules
Simple Summary Pulmonary nodules are considered a sign of bronchogenic carcinoma,
detecting them early will reduce their progression and can save lives. Lung cancer is the …
detecting them early will reduce their progression and can save lives. Lung cancer is the …
[HTML][HTML] ResBCDU-Net: a deep learning framework for lung CT image segmentation
Lung CT image segmentation is a key process in many applications such as lung cancer
detection. It is considered a challenging problem due to existing similar image densities in …
detection. It is considered a challenging problem due to existing similar image densities in …
[图书][B] Guide to medical image analysis
KD Toennies - 2017 - Springer
The methodology presented in the first edition was considered established practice or
settled science in the medical image analysis community in 2010–2011. Progress in this …
settled science in the medical image analysis community in 2010–2011. Progress in this …
[HTML][HTML] Segmentation of lung parenchyma in CT images using CNN trained with the clustering algorithm generated dataset
Background Lung segmentation constitutes a critical procedure for any clinical-decision
supporting system aimed to improve the early diagnosis and treatment of lung diseases …
supporting system aimed to improve the early diagnosis and treatment of lung diseases …
Accurate lungs segmentation on CT chest images by adaptive appearance-guided shape modeling
To accurately segment pathological and healthy lungs for reliable computer-aided disease
diagnostics, a stack of chest CT scans is modeled as a sample of a spatially inhomogeneous …
diagnostics, a stack of chest CT scans is modeled as a sample of a spatially inhomogeneous …
A novel approach of lung segmentation on chest CT images using graph cuts
S Dai, K Lu, J Dong, Y Zhang, Y Chen - Neurocomputing, 2015 - Elsevier
Lung segmentation is often performed as a preprocessing step on chest Computed
Tomography (CT) images because it is important for identifying lung diseases in clinical …
Tomography (CT) images because it is important for identifying lung diseases in clinical …
Integrating lung parenchyma segmentation and nodule detection with deep multi-task learning
W Liu, X Liu, H Li, M Li, X Zhao… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Lung parenchyma segmentation is valuable for improving the performance of lung nodule
detection in computed tomography (CT) images. Traditionally, the two tasks are performed …
detection in computed tomography (CT) images. Traditionally, the two tasks are performed …
Low-rank and sparse decomposition based shape model and probabilistic atlas for automatic pathological organ segmentation
One major limiting factor that prevents the accurate delineation of human organs has been
the presence of severe pathology and pathology affecting organ borders. Overcoming these …
the presence of severe pathology and pathology affecting organ borders. Overcoming these …