Tag: deep learning

A fine-tuned Segment Anything pipeline matched bespoke networks for thigh muscle segmentation on MRI, while radiologist-flagged errors barely changed volume ...

A hybrid ResNet50–VGG16 model with Coordinate Attention and focal loss reached a macro F1-score of 0.718 on the 22-class GastroVision ...

Researchers report a hybrid BiLSTM framework with wavelet feature extraction and modified Archimedes optimization that classifies composite insulator aging states ...

A new hierarchical feature attention network reconstructs high-resolution images from low-resolution inputs while keeping the model below one million parameters.

A new review systematically catalogs the error sources that degrade white-light interferometric surface measurements and evaluates two decades of compensation ...

A new deep learning pipeline raises yellow rust classification accuracy on wheat leaves from 78 to 87 percent on the ...

A new deep learning model called MSAF-Net detects drought and salinity stress in crops with 96.82% accuracy and outperforms existing ...

A hybrid LSTM and CNN model outperformed traditional time series and individual machine learning models in predicting monthly hepatitis B ...

A systematic benchmark of fifteen activation functions across CT, mammography and MRI deblurring finds that the spatially adaptive Funnel ReLU ...

A newly published study in Discover Artificial Intelligence proposes a machine learning framework designed specifically for this problem, combining a ...