VGG19 network assisted joint segmentation and classification of lung nodules in CT images
Pulmonary nodule is one of the lung diseases and its early diagnosis and treatment are
essential to cure the patient. This paper introduces a deep learning framework to support the …
essential to cure the patient. This paper introduces a deep learning framework to support the …
Recent trends in artificial intelligence-assisted coronary atherosclerotic plaque characterization
A Gudigar, S Nayak, J Samanth… - International journal of …, 2021 - mdpi.com
Coronary artery disease is a major cause of morbidity and mortality worldwide. Its underlying
histopathology is the atherosclerotic plaque, which comprises lipid, fibrous and—when …
histopathology is the atherosclerotic plaque, which comprises lipid, fibrous and—when …
Convolutional-neural-network assisted segmentation and SVM classification of brain tumor in clinical MRI slices
Due to the increased disease occurrence rates in humans, the need for the Automated
Disease Diagnosis (ADD) systems is also raised. Most of the ADD systems are proposed to …
Disease Diagnosis (ADD) systems is also raised. Most of the ADD systems are proposed to …
Breast-cancer detection using thermal images with marine-predators-algorithm selected features
Breast-cancer (BC) is one of the major diseases in women group and the early diagnosis
and treatment is necessary to cure the disease. Early detection of BC is very essential to …
and treatment is necessary to cure the disease. Early detection of BC is very essential to …
Role of four-chamber heart ultrasound images in automatic assessment of fetal heart: A systematic understanding
The fetal echocardiogram is useful for monitoring and diagnosing cardiovascular diseases
in the fetus in utero. Importantly, it can be used for assessing prenatal congenital heart …
in the fetus in utero. Importantly, it can be used for assessing prenatal congenital heart …
OralNet: fused optimal deep features framework for oral squamous cell carcinoma detection
Humankind is witnessing a gradual increase in cancer incidence, emphasizing the
importance of early diagnosis and treatment, and follow-up clinical protocols. Oral or mouth …
importance of early diagnosis and treatment, and follow-up clinical protocols. Oral or mouth …
Automatic detection of breast cancer in ultrasound images using Mayfly algorithm optimized handcrafted features
BACKGROUND: The incidence rates of breast cancer in women community is progressively
raising and the premature diagnosis is necessary to detect and cure the disease …
raising and the premature diagnosis is necessary to detect and cure the disease …
Automated detection of age-related macular degeneration using a pre-trained deep-learning scheme
An eye disease affects the entire sensory operation, and an unrecognised and untreated
eye disease may lead to loss of vision. The proposed work aims to develop an automated …
eye disease may lead to loss of vision. The proposed work aims to develop an automated …
Machine-learning-scheme to detect choroidal-neovascularization in retinal OCT image
Eye is a fundamental sensory organ and any disease in eye will severely affect the sensory
signal evaluation and conclusion making capability of the brain. The Choroidal …
signal evaluation and conclusion making capability of the brain. The Choroidal …
Detecting epilepsy in EEG signals using synchro-extracting-transform (SET) supported classification technique
Epilepsy is one of the medical conditions in human caused by the disorder in central-
nervous-system (CNS). Early detection and treatment are essential patient healthcare. Brain …
nervous-system (CNS). Early detection and treatment are essential patient healthcare. Brain …