1.1k citations · 2k across the 8 of their papers we have counts for
8 papers
Assessment of algorithms for mitosis detection in breast cancer histopathology images
Mitko Veta, Paul J. van Diest, Stefan M. Willems +26
The proliferative activity of breast tumors, which is routinely estimated by counting of mitotic figures in hematoxylin and eosin stained histology sections, is considered to be on…
Multi-Column Deep Neural Networks for Offline Handwritten Chinese Character Classification
Dan Cireşan, Jürgen Schmidhuber
Our Multi-Column Deep Neural Networks achieve best known recognition rates on Chinese characters from the ICDAR 2011 and 2013 offline handwriting competitions, approaching human pe…
Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks
Alessandro Giusti, Dan C. Cireşan, Jonathan Masci +2
Deep Neural Networks now excel at image classification, detection and segmentation. When used to scan images by means of a sliding window, however, their high computational complex…
A Fast Learning Algorithm for Image Segmentation with Max-Pooling Convolutional Networks
Jonathan Masci, Alessandro Giusti, Dan Cireşan +2
We present a fast algorithm for training MaxPooling Convolutional Networks to segment images. This type of network yields record-breaking performance in a variety of tasks, but is…
Multi-column Deep Neural Networks for Image Classification
Dan Cireşan, Ueli Meier, Juergen Schmidhuber
Traditional methods of computer vision and machine learning cannot match human performance on tasks such as the recognition of handwritten digits or traffic signs. Our biologically…
Handwritten Digit Recognition with a Committee of Deep Neural Nets on GPUs
Dan C. Cireşan, Ueli Meier, Luca M. Gambardella +1
The competitive MNIST handwritten digit recognition benchmark has a long history of broken records since 1998. The most recent substantial improvement by others dates back 7 years…
High-Performance Neural Networks for Visual Object Classification
Dan C. Cireşan, Ueli Meier, Jonathan Masci +2
We present a fast, fully parameterizable GPU implementation of Convolutional Neural Network variants. Our feature extractors are neither carefully designed nor pre-wired, but rathe…
Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition
Dan Claudiu Ciresan, Ueli Meier, Luca Maria Gambardella +1
Good old on-line back-propagation for plain multi-layer perceptrons yields a very low 0.35% error rate on the famous MNIST handwritten digits benchmark. All we need to achieve this…