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Simultaneous segmentation of the optic disc and fovea in retinal images using evolutionary algorithms
In this work, we present a new methodology to simultaneously segment anatomical structures in medical images. Additionally, this methodology is...
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IVD-Net: Intervertebral Disc Localization and Segmentation in MRI with a Multi-modal UNet
Accurate localization and segmentation of intervertebral disc (IVD) is crucial for the assessment of spine disease diagnosis. Despite the...
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Deep Learning Framework for Fully Automated Intervertebral Disc Localization and Segmentation from Multi-modality MR Images
Intervertebral discs are joints that lie between vertebrae in the spinal column, which absorb shock between vertebrae during activities. There is a...
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Nature-inspired computing and machine learning based classification approach for glaucoma in retinal fundus images
Glaucoma, commonly known as the silent thief of sight, is the second most common cause of blindness in humans, and the number of cases is steadily...
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Optic Disc, Cup and Fovea Detection from Retinal Images Using U-Net++ with EfficientNet Encoder
The accurate detection of retinal structures like an optic disc (OD), cup, and fovea is crucial for the analysis of Age-related Macular Degeneration...
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A novel diabetic retinopathy grading using modified deep neural network with segmentation of blood vessels and retinal abnormalities
This paper proposes a new DR grading for solving the aforementioned problems. The initial process of the proposed model is the pre-processing, which...
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Evaluation and Comparison of Automatic Intervertebral Disc Localization and Segmentation methods with 3D Multi-modality MR Images: A Grand Challenge
The localization and segmentation of Intervertebral Discs (IVDs) with 3D Multi-modality MR Images are critically important for spine disease...
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Application of deep learning approaches for classification of diabetic retinopathy stages from fundus retinal images: a survey
Diabetic retinopathy (DR) is an impediment of diabetes mellitus, which if not treated early may result in complete loss of vision, even without any...
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Joint Optic Disc and Optic Cup Segmentation Based on New Skip-Link Attention Guidance Network and Polar Transformation
The challenge faced by the joint optic disc and optic cup segmentation is how to learn an efficient segmentation model with good performance. This...
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Intervertebral Disc Segmentation and Localization from Multi-modality MR Images with 2.5D Multi-scale Fully Convolutional Network and Geometric Constraint Post-processing
The intervertebral discs (IVDs) segmentation and localization on medical images are important for the clinical diagnosis and research of spine...
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LSS-UNET: Lumbar spinal stenosis semantic segmentation using deep learning
The most important information to be noted about LSS not a hernia. While a hernia occurs with a rupture in the disc, LSS occurs as a result of...
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Glaucoma Detection with Retinal Fundus Images Using Segmentation and Classification
Glaucoma is a prevalent cause of blindness worldwide. If not treated promptly, it can cause vision and quality of life to deteriorate. According to...
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Multi-resolution Path CNN with Deep Supervision for Intervertebral Disc Localization and Segmentation
Automatic localization and segmentation of intervertebral discs (IVDs) from MR images plays a vital role in the diagnosis of pathological changes of...
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MÆIDM: multi-scale anomaly embedding inpainting and discrimination for surface anomaly detection
The detection of anomalous structures in natural image data plays a crucial role in numerous tasks in the field of computer vision. Methods based on...
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Deep learning of fundus images and optical coherence tomography images for ocular disease detection – a review
Deep Learning (DL) has proliferated interest in ocular disease detection in recent years, and several DL architectures were proposed. DL...
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Landmark-Guided Rigid Registration for Temporomandibular Joint MRI-CBCT Images with Large Field-of-View Difference
Fused MRI-CBCT images provide desirable complementary information of the articular disc and condyle surface for optimum diagnosis, has been shown to...
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Effective recognition of glaucoma using SIFT and RFSO classifier
One of the most serious eye illnesses, glaucoma affects the astrocytes and optic nerve fibres, causing irreversible damage to the eyes. As a result,...
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Fovea Localization in Fundus Photographs by Faster R-CNN with Physiological Prior
A macular fovea is a physiological structure of the human retina, which is an essential optical center. The distance between the lesion area and the...
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A robust framework for glaucoma detection using CLAHE and EfficientNet
Glaucoma disease is affecting a large community worldwide. It gradually affects the optic nerve and may cause partial or complete vision loss....
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Automated detection of retinopathy of prematurity by deep attention network
Retinopathy of prematurity (ROP) is a retinal vascular proliferative disease principally observed in infants born prematurely with low birth weight....
