Transfer learning techniques for medical image analysis: A review
Medical imaging is a useful tool for disease detection and diagnostic imaging technology
has enabled early diagnosis of medical conditions. Manual image analysis methods are …
has enabled early diagnosis of medical conditions. Manual image analysis methods are …
[HTML][HTML] Hybrid deep learning for detecting lung diseases from X-ray images
Lung disease is common throughout the world. These include chronic obstructive pulmonary
disease, pneumonia, asthma, tuberculosis, fibrosis, etc. Timely diagnosis of lung disease is …
disease, pneumonia, asthma, tuberculosis, fibrosis, etc. Timely diagnosis of lung disease is …
A survey on AI techniques for thoracic diseases diagnosis using medical images
Thoracic diseases refer to disorders that affect the lungs, heart, and other parts of the rib
cage, such as pneumonia, novel coronavirus disease (COVID-19), tuberculosis …
cage, such as pneumonia, novel coronavirus disease (COVID-19), tuberculosis …
A self-activated cnn approach for multi-class chest-related COVID-19 detection
Chest diseases can be dangerous and deadly. They include many chest infections such as
pneumonia, asthma, edema, and, lately, COVID-19. COVID-19 has many similar symptoms …
pneumonia, asthma, edema, and, lately, COVID-19. COVID-19 has many similar symptoms …
A novel deep transfer learning based computerized diagnostic Systems for Multi-class imbalanced diabetic retinopathy severity classification
Diabetic Retinopathy (DR) is a retinal condition that leads to gradual degeneration of the
retina and eventual blindness, so early detection and evaluation of disease development …
retina and eventual blindness, so early detection and evaluation of disease development …
Deep learning system applicability for rapid glaucoma prediction from fundus images across various data sets
Glaucoma damages the optical nerve, which sends visual pictures to the brain, and results
in irreversible vision loss. This chronic infection is the second leading cause of permanent …
in irreversible vision loss. This chronic infection is the second leading cause of permanent …
Bangla-Meitei Mayek scripts handwritten character recognition using convolutional neural network
Recognition of handwritten characters in two Indic scripts Bangla and Meitei Mayek is one of
the challenging responsibilities due to intricate patterns and scarcity of standard datasets …
the challenging responsibilities due to intricate patterns and scarcity of standard datasets …
Recent advances in deep learning techniques and its applications: an overview
Learning with images and their classification, segmentation, localization, annotation, and
abnormally detection is one of the current challenging and exciting task for the researchers …
abnormally detection is one of the current challenging and exciting task for the researchers …
Malware visualization and detection using DenseNets
Rapid advancement in the sophistication of malware has posed a serious impact on the
device connected over the Internet. Malware writing is driven by economic benefits; thus, an …
device connected over the Internet. Malware writing is driven by economic benefits; thus, an …
Modified residual networks for severity stage classification of diabetic retinopathy
Diabetic Retinopathy is a common microvascular complication associated with diabetes and
also one of the main reason for blindness globally. Manual diagnosis of diabetic retinopathy …
also one of the main reason for blindness globally. Manual diagnosis of diabetic retinopathy …