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Found 5 papers, 0 papers with code
Lung Cancer Lesion Detection in Histopathology Images Using Graph-Based Sparse PCA Network
In this paper, we propose a simple machine learning approach called the graph-based sparse principal component analysis (GS-PCA) network, for automated detection of cancerous lesions on histological lung slides stained by hematoxylin and eosin (H&E).
Robust Segmentation of Cell Nuclei in 3-D Microscopy Images
Like other segmentation algorithms, we first use a seed detection/marker extraction algorithm to find a seed voxel for each individual cell nucleus.
Object sieving and morphological closing to reduce false detections in wide-area aerial imagery
We use two wide-area aerial videos to compare the performance of five object detection algorithms in the absence and in the presence of our post-processing scheme.
Drive-Net: Convolutional Network for Driver Distraction Detection
To help prevent motor vehicle accidents, there has been significant interest in finding an automated method to recognize signs of driver distraction, such as talking to passengers, fixing hair and makeup, eating and drinking, and using a mobile phone.
Joint Cell Nuclei Detection and Segmentation in Microscopy Images Using 3D Convolutional Networks
Mirroring the co-dependency of these tasks, our proposed model consists of two serial components: the first part computes a segmentation of cell bodies, while the second module identifies the centers of these cells.
