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[HTML][HTML] Data analytics in smart healthcare: The recent developments and beyond
The concepts of the smart city and the Internet of Things (IoT) have been facilitating the
rollout of medical devices and systems to capture valuable information of humanity. A lot of …
rollout of medical devices and systems to capture valuable information of humanity. A lot of …
A hybrid approach for diagnosing diabetic retinopathy from fundus image exploiting deep features
One of the major causes of blindness in human beings is the diabetic retinopathy (DR). To
prevent blindness, early detection of DR is therefore necessary. In this paper, a hybrid model …
prevent blindness, early detection of DR is therefore necessary. In this paper, a hybrid model …
[HTML][HTML] Multilevel and multiscale deep neural network for retinal blood vessel segmentation
PM Samuel, T Veeramalai - Symmetry, 2019 - mdpi.com
Retinal blood vessel segmentation influences a lot of blood vessel-related disorders such as
diabetic retinopathy, hypertension, cardiovascular and cerebrovascular disorders, etc. It is …
diabetic retinopathy, hypertension, cardiovascular and cerebrovascular disorders, etc. It is …
Detection and grading of hypertensive retinopathy using vessels tortuosity and arteriovenous ratio
Hypertensive retinopathy (HR) refers to changes in the morphological diameter of the retinal
vessels due to persistent high blood pressure. Early detection of such changes helps in …
vessels due to persistent high blood pressure. Early detection of such changes helps in …
Detection of lung opacity and treatment planning with three-channel fusion cnn model
Lung opacities are extremely important for physicians to monitor and can have irreversible
consequences for patients if misdiagnosed or confused with other findings. Therefore, long …
consequences for patients if misdiagnosed or confused with other findings. Therefore, long …
[PDF][PDF] Optic Disc Localization in Retinal Fundus Images Based on You Only Look Once Network (YOLO).
The retina is the visible component of the nervous system that links directly to the brain;
hence, analyzing and extracting features of the retinal fundus image is essential in …
hence, analyzing and extracting features of the retinal fundus image is essential in …
[HTML][HTML] Optic disc detection in the presence of strong technical artifacts
J Dietter, W Haq, IV Ivanov, LA Norrenberg… - … Signal Processing and …, 2019 - Elsevier
The inspection of retinal fundus pictures taken by a fundus camera is one of the key
procedures for diagnosing a wide range of diseases like diabetic retinopathy, hypertension …
procedures for diagnosing a wide range of diseases like diabetic retinopathy, hypertension …
Data science and AI in IoT based smart healthcare: Issues, challenges and case study
IoT based applications such as smart healthcare, transportation, surveillance etc. lead to
more convenient and healthy lifestyle to human being nowadays. Biosensors sense health …
more convenient and healthy lifestyle to human being nowadays. Biosensors sense health …
Optic disc localization in fundus images through accumulated directional and radial blur analysis
Optic disc localization, a key preprocessing step in the analysis of color fundus images for
diagnoses of eye diseases and the localization of various anatomical structures, is …
diagnoses of eye diseases and the localization of various anatomical structures, is …
Young lunar crescent detection based on video data with computer vision techniques
More than one and a half billion people worldwide use a calendar based on the young lunar
crescent apparition. In the Hijri calendar, it is crucial to recognize the appearance of the …
crescent apparition. In the Hijri calendar, it is crucial to recognize the appearance of the …