CovidXrayNet: Optimizing data augmentation and CNN hyperparameters for improved COVID-19 detection from CXR
To mitigate the spread of the current coronavirus disease 2019 (COVID-19) pandemic, it is
crucial to have an effective screening of infected patients to be isolated and treated. Chest X …
crucial to have an effective screening of infected patients to be isolated and treated. Chest X …
Deep learning based HEp-2 image classification: A comprehensive review
Classification of HEp-2 cell patterns plays a significant role in the indirect
immunofluorescence test for identifying autoimmune diseases in the human body. Many …
immunofluorescence test for identifying autoimmune diseases in the human body. Many …
A long-term prediction approach based on long short-term memory neural networks with automatic parameter optimization by Tree-structured Parzen Estimator and …
Developing an accurate and reliable multi-step ahead prediction model is a key problem in
many Prognostics and Health Management (PHM) applications. Inevitably, the further one …
many Prognostics and Health Management (PHM) applications. Inevitably, the further one …
Deep learning-based application for fault location identification and type classification in active distribution grids
The high penetration of distributed energy resources, especially weather-dependent
sources, even at the edge of the distribution grids, has increased the power system …
sources, even at the edge of the distribution grids, has increased the power system …
[HTML][HTML] Multi-level residual network VGGNet for fish species classification
The development of an image-based fish classification system using Convolutional Neural
Network (CNN) has the advantages of no longer directly conducting features extraction and …
Network (CNN) has the advantages of no longer directly conducting features extraction and …
Multithreshold image segmentation technique using remora optimization algorithm for diabetic retinopathy detection from fundus images
VD Vinayaki, R Kalaiselvi - Neural Processing Letters, 2022 - Springer
One of the most common complications of diabetes mellitus is diabetic retinopathy (DR),
which produces lesions on the retina. A novel framework for DR detection and classification …
which produces lesions on the retina. A novel framework for DR detection and classification …
Optimizing a deep residual neural network with genetic algorithm for acute lymphoblastic leukemia classification
Acute lymphoblastic leukemia (ALL) is the most common childhood cancer worldwide, and it
is characterized by the production of immature malignant cells in the bone marrow …
is characterized by the production of immature malignant cells in the bone marrow …
Artificial intelligence-based forensic sex determination of East Asian cadavers from skull morphology
H Kondou, R Morohashi, S Kimura, N Idota… - Scientific Reports, 2023 - nature.com
Identification of unknown cadavers is an important task for forensic scientists. Forensic
scientists attempt to identify skeletal remains based on factors including age, sex, and dental …
scientists attempt to identify skeletal remains based on factors including age, sex, and dental …
Robust classification of cell cycle phase and biological feature extraction by image-based deep learning
Y Nagao, M Sakamoto, T Chinen… - Molecular biology of …, 2020 - Am Soc Cell Biol
Across the cell cycle, the subcellular organization undergoes major spatiotemporal changes
that could in principle contain biological features that could potentially represent cell cycle …
that could in principle contain biological features that could potentially represent cell cycle …
Detecting proximal caries on periapical radiographs using convolutional neural networks with different training strategies on small datasets
X Lin, D Hong, D Zhang, M Huang, H Yu - Diagnostics, 2022 - mdpi.com
The present study aimed to evaluate the performance of convolutional neural networks
(CNNs) that were trained with small datasets using different strategies in the detection of …
(CNNs) that were trained with small datasets using different strategies in the detection of …