Automated segmentation of tissues using CT and MRI: a systematic review
Rationale and Objectives The automated segmentation of organs and tissues throughout the
body using computed tomography and magnetic resonance imaging has been rapidly …
body using computed tomography and magnetic resonance imaging has been rapidly …
Relational modeling for robust and efficient pulmonary lobe segmentation in CT scans
Pulmonary lobe segmentation in computed tomography scans is essential for regional
assessment of pulmonary diseases. Recent works based on convolution neural networks …
assessment of pulmonary diseases. Recent works based on convolution neural networks …
A survey and taxonomy of 2.5 D approaches for lung segmentation and nodule detection in CT images
RJ Suji, SS Bhadauria, WW Godfrey - Computers in Biology and Medicine, 2023 - Elsevier
CAD systems for lung cancer diagnosis and detection can significantly offer unbiased,
infatiguable diagnostics with minimal variance, decreasing the mortality rate and the five …
infatiguable diagnostics with minimal variance, decreasing the mortality rate and the five …
Artificial intelligence in radiology
The interest in artificial intelligence (AI) has ballooned within radiology in the past few years
primarily due to notable successes of deep learning. With the advances brought by deep …
primarily due to notable successes of deep learning. With the advances brought by deep …
A hybrid hemodynamic knowledge-powered and feature reconstruction-guided scheme for breast cancer segmentation based on DCE-MRI
T Lv, Y Wu, Y Wang, Y Liu, L Li, C Deng, X Pan - Medical Image Analysis, 2022 - Elsevier
Automatically and accurately annotating tumor in dynamic contrast-enhanced magnetic
resonance imaging (DCE-MRI), which provides a noninvasive in vivo method to evaluate …
resonance imaging (DCE-MRI), which provides a noninvasive in vivo method to evaluate …
End-to-end supervised lung lobe segmentation
The segmentation and characterization of the lung lobes are important tasks for Computer
Aided Diagnosis (CAD) systems related to pulmonary disease. The detection of the fissures …
Aided Diagnosis (CAD) systems related to pulmonary disease. The detection of the fissures …
Automatic segmentation of pulmonary lobes using a progressive dense V-network
Reliable and automatic segmentation of lung lobes is important for diagnosis, assessment,
and quantification of pulmonary diseases. The existing techniques are prohibitively slow …
and quantification of pulmonary diseases. The existing techniques are prohibitively slow …
Pathological pulmonary lobe segmentation from CT images using progressive holistically nested neural networks and random walker
Automatic pathological pulmonary lobe segmentation (PPLS) enables regional analyses of
lung disease, a clinically important capability. Due to often incomplete lobe boundaries …
lung disease, a clinically important capability. Due to often incomplete lobe boundaries …
Fast and automatic segmentation of pulmonary lobes from chest CT using a progressive dense V-network
Automatic, reliable lobe segmentation is crucial to the diagnosis, assessment, and
quantification of pulmonary diseases. Existing pulmonary lobe segmentation techniques are …
quantification of pulmonary diseases. Existing pulmonary lobe segmentation techniques are …
Automated segmentation of pulmonary lobes using coordination-guided deep neural networks
The identification of pulmonary lobes is of great importance in disease diagnosis and
treatment. A few lung diseases have regional disorders at lobar level. Thus, an accurate …
treatment. A few lung diseases have regional disorders at lobar level. Thus, an accurate …