[Retracted] U‐Net‐Based Medical Image Segmentation
Deep learning has been extensively applied to segmentation in medical imaging. U‐Net
proposed in 2015 shows the advantages of accurate segmentation of small targets and its …
proposed in 2015 shows the advantages of accurate segmentation of small targets and its …
Automated glaucoma screening and diagnosis based on retinal fundus images using deep learning approaches: A comprehensive review
Glaucoma is a chronic eye disease that may lead to permanent vision loss if it is not
diagnosed and treated at an early stage. The disease originates from an irregular behavior …
diagnosed and treated at an early stage. The disease originates from an irregular behavior …
A comprehensive review of deep learning strategies in retinal disease diagnosis using fundus images
In recent years, there has been an unprecedented growth in computer vision and deep
learning implementation owing to the exponential rise of computation infrastructure. The …
learning implementation owing to the exponential rise of computation infrastructure. The …
[HTML][HTML] A novel optic disc and optic cup segmentation technique to diagnose glaucoma using deep learning convolutional neural network over retinal fundus images
Glaucoma is currently leading retinal disease, which damages the eye because of the
Intraocular pressure (IOP) on the eye. If glaucoma is left untreated it will lead to vision loss …
Intraocular pressure (IOP) on the eye. If glaucoma is left untreated it will lead to vision loss …
Weak label based Bayesian U-Net for optic disc segmentation in fundus images
Fundus images have been widely used in routine examinations of ophthalmic diseases. For
some diseases, the pathological changes mainly occur around the optic disc area; therefore …
some diseases, the pathological changes mainly occur around the optic disc area; therefore …
Comprehensive review on the use of artificial intelligence in ophthalmology and future research directions
Background: Having several applications in medicine, and in ophthalmology in particular,
artificial intelligence (AI) tools have been used to detect visual function deficits, thus playing …
artificial intelligence (AI) tools have been used to detect visual function deficits, thus playing …
Automated segmentation of optic disc and optic cup for glaucoma assessment using improved UNET++ architecture
Glaucoma is one of the leading cause of blindness for over 60 million people around the
world. Since a cure for glaucoma doesn't yet exist, early screening and diagnosis become …
world. Since a cure for glaucoma doesn't yet exist, early screening and diagnosis become …
Glaucoma detection with retinal fundus images using segmentation and classification
T Shyamalee, D Meedeniya - Machine Intelligence Research, 2022 - Springer
Glaucoma is a prevalent cause of blindness worldwide. If not treated promptly, it can cause
vision and quality of life to deteriorate. According to statistics, glaucoma affects …
vision and quality of life to deteriorate. According to statistics, glaucoma affects …
Glaucoma detection using clustering and segmentation of the optic disc region from retinal fundus images
Segmentation is a process of dividing image into multiple parts. Each part is called a
segment. The main objective of the segmenting image is to convert the representation of an …
segment. The main objective of the segmenting image is to convert the representation of an …
H-SegNet: hybrid segmentation network for lung segmentation in chest radiographs using mask region-based convolutional neural network and adaptive closed …
Chest x-ray (CXR) is one of the most commonly used imaging techniques for the detection
and diagnosis of pulmonary diseases. One critical component in many computer-aided …
and diagnosis of pulmonary diseases. One critical component in many computer-aided …