In this study, the process utilizes convolutional neural networks (CNN) and VGG16 architecture. The determination of disease severity and the stage of the disease is conducted through multi-task ...

Multi-task learning (MTL) is a machine learning method to share knowledge for multiple related machine learning tasks via learning those tasks jointly. It has been shown to be capable of effectively ...

Codes for ``NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction''. NDDR-CNN is a simple and general architecture for general-purpose CNN based multi ...

Hyperface model for multi-task learning. Basic model Hyperface is the architecture of AlexNet. Except convolutional layers, remove all fully-connected (Dense) layers. Input each bounding box through ...

Architectures, Datasets, and Transfer Learning for CNN-based CAD. November 21, 2018 · 3 min · Kumar Abhishek. Paper Title: ... There is a trade-off between using better learning models versus more ...