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Brain tumor detection and classification using machine learning: a comprehensive survey
Brain tumor occurs owing to uncontrolled and rapid growth of cells. If not treated at an initial
phase, it may lead to death. Despite many significant efforts and promising outcomes in this …
phase, it may lead to death. Despite many significant efforts and promising outcomes in this …
Recent trends and advances in fundus image analysis: A review
Automated retinal image analysis holds prime significance in the accurate diagnosis of
various critical eye diseases that include diabetic retinopathy (DR), age-related macular …
various critical eye diseases that include diabetic retinopathy (DR), age-related macular …
A deep learning ensemble approach for diabetic retinopathy detection
Diabetic Retinopathy (DR) is an ophthalmic disease that damages retinal blood vessels. DR
causes impaired vision and may even lead to blindness if it is not diagnosed in early stages …
causes impaired vision and may even lead to blindness if it is not diagnosed in early stages …
Brain tumor detection using fusion of hand crafted and deep learning features
The perilous disease in the worldwide now a days is brain tumor. Tumor affects the brain by
damaging healthy tissues or intensifying intra cranial pressure. Hence, rapid growth in tumor …
damaging healthy tissues or intensifying intra cranial pressure. Hence, rapid growth in tumor …
Diabetic retinopathy detection using prognosis of microaneurysm and early diagnosis system for non-proliferative diabetic retinopathy based on deep learning …
L Qiao, Y Zhu, H Zhou - IEEE Access, 2020 - ieeexplore.ieee.org
Predicting the presence of Microaneurysms in the fundus images and the identification of
diabetic retinopathy in early-stage has always been a major challenge for decades. Diabetic …
diabetic retinopathy in early-stage has always been a major challenge for decades. Diabetic …
A critical review on diagnosis of diabetic retinopathy using machine learning and deep learning
Diabetic Retinopathy (DR) is a health condition caused due to Diabetes Mellitus (DM). It
causes vision problems and blindness due to disfigurement of human retina. According to …
causes vision problems and blindness due to disfigurement of human retina. According to …
Quantum machine learning architecture for COVID-19 classification based on synthetic data generation using conditional adversarial neural network
Background COVID-19 is a novel virus that affects the upper respiratory tract, as well as the
lungs. The scale of the global COVID-19 pandemic, its spreading rate, and deaths are …
lungs. The scale of the global COVID-19 pandemic, its spreading rate, and deaths are …
An integrated design of particle swarm optimization (PSO) with fusion of features for detection of brain tumor
Tumor in brain is a major cause of death in human beings. If not treated properly and timely,
there is a high chance of it to become malignant. Therefore, brain tumor detection at an …
there is a high chance of it to become malignant. Therefore, brain tumor detection at an …
Brain tumor detection: a long short-term memory (LSTM)-based learning model
To overcome the problems of automated brain tumor classification, a novel approach is
proposed based on long short-term memory (LSTM) model using magnetic resonance …
proposed based on long short-term memory (LSTM) model using magnetic resonance …
Brain tumor detection by using stacked autoencoders in deep learning
Brain tumor detection depicts a tough job because of its shape, size and appearance
variations. In this manuscript, a deep learning model is deployed to predict input slices as a …
variations. In this manuscript, a deep learning model is deployed to predict input slices as a …