Computer‐aided diagnosis systems for lung cancer: challenges and methodologies
This paper overviews one of the most important, interesting, and challenging problems in
oncology, the problem of lung cancer diagnosis. Develo** an effective computer-aided …
oncology, the problem of lung cancer diagnosis. Develo** an effective computer-aided …
A systematic review of automated segmentation methods and public datasets for the lung and its lobes and findings on computed tomography images
Objectives: Automated computational segmentation of the lung and its lobes and findings in
X-Ray based computed tomography (CT) images is a challenging problem with important …
X-Ray based computed tomography (CT) images is a challenging problem with important …
Parallel deep learning algorithms with hybrid attention mechanism for image segmentation of lung tumors
H Hu, Q Li, Y Zhao, Y Zhang - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
At present, medical images have played a more and more important role in clinical
treatment. Lung images provide an important reference for doctors to make a diagnosis …
treatment. Lung images provide an important reference for doctors to make a diagnosis …
Deep residual separable convolutional neural network for lung tumor segmentation
Lung cancer is one of the deadliest types of cancers. Computed Tomography (CT) is a
widely used technique to detect tumors present inside the lungs. Delineation of such tumors …
widely used technique to detect tumors present inside the lungs. Delineation of such tumors …
3D shape analysis for early diagnosis of malignant lung nodules
An alternative method for diagnosing malignant lung nodules by their shape rather than
conventional growth rate is proposed. The 3D surfaces of the detected lung nodules are …
conventional growth rate is proposed. The 3D surfaces of the detected lung nodules are …
[BOOK][B] Lung imaging and computer aided diagnosis
Lung cancer remains the leading cause of cancer-related deaths worldwide. Early diagnosis
can improve the effectiveness of treatment and increase a patient's chances of survival …
can improve the effectiveness of treatment and increase a patient's chances of survival …
[BOOK][B] Big data in multimodal medical imaging
There is an urgent need to develop and integrate new statistical, mathematical, visualization,
and computational models with the ability to analyze Big Data in order to retrieve useful …
and computational models with the ability to analyze Big Data in order to retrieve useful …
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 …
Review of automatic pulmonary lobe segmentation methods from CT
The computational detection of pulmonary lobes from CT images is a challenging
segmentation problem with important respiratory health care applications, including surgical …
segmentation problem with important respiratory health care applications, including surgical …
Computer-aided detection of lung nodules: a review
We present an in-depth review and analysis of salient methods for computer-aided detection
of lung nodules. We evaluate the current methods for detecting lung nodules using literature …
of lung nodules. We evaluate the current methods for detecting lung nodules using literature …