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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 review on the cerebrovascular segmentation methods
This paper explores various methods that have been proposed for the segmentation of the
cerebrovascular structure. All of the methods listed are a combination old, new, automatic …
cerebrovascular structure. All of the methods listed are a combination old, new, automatic …
A computer‐aided diagnostic system for detecting diabetic retinopathy in optical coherence tomography images
Purpose Detection (diagnosis) of diabetic retinopathy (DR) in optical coherence tomography
(OCT) images for patients with type 2 diabetes, but almost clinically normal retina …
(OCT) images for patients with type 2 diabetes, but almost clinically normal retina …
Using mean arterial pressure in hypertension diagnosis versus using either systolic or diastolic blood pressure measurements
Hypertension is a severe and highly prevalent disease. It is considered a leading contributor
to mortality worldwide. Diagnosis guidelines for hypertension use systolic and diastolic …
to mortality worldwide. Diagnosis guidelines for hypertension use systolic and diastolic …
Attention-assisted adversarial model for cerebrovascular segmentation in 3D TOF-MRA volumes
Cerebrovascular segmentation in time-of-flight magnetic resonance angiography (TOF-
MRA) volumes is essential for a variety of diagnostic and analytical applications. However …
MRA) volumes is essential for a variety of diagnostic and analytical applications. However …
[HTML][HTML] Using morphological transforms to enhance the contrast of medical images
Medical imaging plays an important role in monitoring the patient's health condition and
providing an effective treatment. However, the existence of several objects overlap** in an …
providing an effective treatment. However, the existence of several objects overlap** in an …
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 …
Self-supervised learning for accurately modelling hierarchical evolutionary patterns of cerebrovasculature
Cerebrovascular abnormalities are critical indicators of stroke and neurodegenerative
diseases like Alzheimer's disease (AD). Understanding the normal evolution of brain vessels …
diseases like Alzheimer's disease (AD). Understanding the normal evolution of brain vessels …
Infant brain extraction in T1-weighted MR images using BET and refinement using LCDG and MGRF models
In this paper, we propose a novel framework for the automated extraction of the brain from
T1-weighted MR images. The proposed approach is primarily based on the integration of a …
T1-weighted MR images. The proposed approach is primarily based on the integration of a …
Dynamic contrast-enhanced MRI-based early detection of acute renal transplant rejection
A novel framework for the classification of acute rejection versus nonrejection status of renal
transplants from 2-D dynamic contrast-enhanced magnetic resonance imaging is proposed …
transplants from 2-D dynamic contrast-enhanced magnetic resonance imaging is proposed …