Conversely, annotation-based methods, such as improved MIL, capitalize on incorporating these priors. However, the labor-intensive nature of full annotation due to the complex boundaries and large scales of WSIs remains a significant challenge. In response, we propose a novel multi-type tissue heat...
Training recent state-of-the-art machine learning methods like convolutional neural networks (CNNs) from small datasets is a challenging task. In this work on anatomical landmark localization, we propose a CNN architecture that learns to split the localization task into two simpler sub-problems, ...
Implementation of face landmark detection with PyTorch. The models were trained using coordinate-based or heatmap-based regression methods. Different face detetors were supported. Avideo demoandimage detectionresults were displayed here. Support 68-point and 39-point landmark inference. ...
An shiny gadget coupled with anS4class that providesprint()andsave()methods. Gadget takes normald3heatmapinputs and allows for interactive adjustment of the heatmap. Gadget allows for filtering rows and columns, and also a dynamic filter to interatively subset the entire underlying data set. ...
Methods Project Documentation Documentation for the Clustergrammer project can be found at http://clustergrammer.readthedocs.io/. Clustergrammer’s documentation was built using the Python documenting tool Sphinx and is hosted by readthedocs.org. The documentation source code can be found on GitHub: http...
Methods Project Documentation Documentation for the Clustergrammer project can be found at http://clustergrammer.readthedocs.io/. Clustergrammer’s documentation was built using the Python documenting tool Sphinx and is hosted by readthedocs.org. The documentation source code can be found on GitHub: http...
The purpose of our study is to improve the methods of quantifying short-term assess population exposure to air pollution in large cities, to locate high exposure areas more accurately, and to provide a new idea for future research in environmental epidemiology and urban planning. Access through ...
OBJECTIVE. Evaluate popular explanation methods using heatmap visualizations to explain the predictions of deep neural networks for electrocardiogram (ECG) analysis and provide recommendations for selection of explanations methods. MATERIALS AND METHODS. A residual deep neural network was traine...
Human pose estimation typically encompasses three categories: heatmap-, regression-, and integral-based methods. While integral-based methods possess advantages such as end-to-end learning, full-convolution learning, and being free from quantization errors , they have garnered comparatively less ...
History: This paper has been accepted for the Transportation Science Special Issue on Machine Learning Methods and Applications in Large-Scale Route Planning Problems. Funding: This research is funded by the German Research Foundation (Deutsche Forschungsgemeinschaft) [Grant 494812908]. M. W. Ulmer'...