[HTML][HTML] Detection of polycystic ovarian syndrome using follicle recognition technique
B Rachana, T Priyanka, KN Sahana… - Global Transitions …, 2021 - Elsevier
Polycystic ovary syndrome is a disorder involving prolonged menstrual cycle, and often
excess androgen level normally occurs in several women at the time of their reproductive …
excess androgen level normally occurs in several women at the time of their reproductive …
Towards effective classification of brain hemorrhagic and ischemic stroke using CNN
Brain stroke is one of the most leading causes of worldwide death and requires proper
medical treatment. Therefore, in this paper, our aim is to classify brain computed tomography …
medical treatment. Therefore, in this paper, our aim is to classify brain computed tomography …
[PDF][PDF] A review of various image fusion types and transform
Utilizing multiple views of an image is an important approach in digital photography, video
editing, and medical image fusion applications. Image fusion (ImF) methods are used to …
editing, and medical image fusion applications. Image fusion (ImF) methods are used to …
A novel complex-valued convolutional neural network for medical image denoising
Several applications of complex-valued networks have been reported for computer vision
tasks like image processing and classification. However, complex-valued convolutional …
tasks like image processing and classification. However, complex-valued convolutional …
Detection of corona virus disease using a novel machine learning approach
AO Salau - 2021 international conference on decision aid …, 2021 - ieeexplore.ieee.org
In recent times, Coronavirus Disease 2019 (COVID-19) has become a growing concern
which has taken the world by surprise. Early detection of this virus can be used to save …
which has taken the world by surprise. Early detection of this virus can be used to save …
[HTML][HTML] Adaptive diagnostic machine learning technique for classification of cell decisions for AKT protein
Artificial intelligence techniques can unravel clinically consistent information in clinical data
which in turn assist in decision-making. With the help of state-of-the-art techniques …
which in turn assist in decision-making. With the help of state-of-the-art techniques …
Multimodal image fusion employing discrete cosine transform
Image fusion (ImF) methods are employed to increase the superiority of an image and to
eliminate noise from the image signal, thereby increasing its signal-to-noise ratio. There are …
eliminate noise from the image signal, thereby increasing its signal-to-noise ratio. There are …
An intelligent hybrid sentiment analyzer for personal protective medical equipments based on word embedding technique: The covid-19 era
Due to the accelerated growth of symmetrical sentiment data across different platforms,
experimenting with different sentiment analysis (SA) techniques allows for better decision …
experimenting with different sentiment analysis (SA) techniques allows for better decision …
Automatic vessel segmentation in x-ray angiogram using spatio-temporal fully-convolutional neural network
Vessel segmentation from X-ray coronary angiogram (CAG) is essential in computer-aided
diagnosis of cardiovascular diseases. Automatic segmentation is a challenging task due to …
diagnosis of cardiovascular diseases. Automatic segmentation is a challenging task due to …
Self-organized maps and high-frequency image detail for mri image enhancement
K Ahmadian, HR Reza-Alikhani - IEEE Access, 2021 - ieeexplore.ieee.org
Magnetic resonance imaging (MRI) is a medical technology that uses powerful magnets,
radio waves, and a computer to produce images of the body's internal organs. The patient …
radio waves, and a computer to produce images of the body's internal organs. The patient …