AttendSeg is a new neural network architecture from DarwinAI designed to perform image segmentation on low-power/capacity computing devices.

Through our experiments, we trained a deep learning model with the capacity to achieve heart segmentation based on MRI data by adding a batch-normalized layer to the neural network and using different ...

Keywords: powdery mildew, cucumber leaf, convolutional neural network, image segmentation, deep-learning Citation: Lin K, Gong L, Huang Y, Liu C and Pan J (2019) Deep Learning-Based Segmentation and ...

We propose the deep hierarchical network (DHN) for the quantitative analysis of facial palsy. Facial palsy, also known as Bell’s palsy, is the most common type of facial nerve palsy that results in ...

Automatic crack detection and segmentation plays a significant role in the whole system of unmanned aerial vehicle inspections. In this paper, we have implemented a deep learning framework for crack ...

Deep learning-based semantic segmentation convolutional neural network (CNN) has millions of learnable parameters. However, depending on the complexity of the CNN, it takes hours to days to train the ...

There are several deep learning algorithms for instance segmentation, the most popular being Mask-RCNN. The Mask-RCNN network belongs to RCNN family of networks and builds on the Faster-RCNN network ...

Caffe is a popular deep learning network for vision recognition. However, Caffe does not support fine granularity network layers like those found in TensorFlow, CNTK and Theano.