33 citations · 78 across the 5 of their papers we have counts for
5 papers
Large scale digital prostate pathology image analysis combining feature extraction and deep neural network
Naiyun Zhou, Andrey Fedorov, Fiona Fennessy +2
Histopathological assessments, including surgical resection and core needle biopsy, are the standard procedures in the diagnosis of the prostate cancer. Current interpretation of t…
Sparse Autoencoder for Unsupervised Nucleus Detection and Representation in Histopathology Images
Le Hou, Vu Nguyen, Dimitris Samaras +4
Histopathology images are crucial to the study of complex diseases such as cancer. The histologic characteristics of nuclei play a key role in disease diagnosis, prognosis and anal…
Neural Networks with Smooth Adaptive Activation Functions for Regression
Le Hou, Dimitris Samaras, Tahsin M. Kurc +2
In Neural Networks (NN), Adaptive Activation Functions (AAF) have parameters that control the shapes of activation functions. These parameters are trained along with other paramete…
Patch-based Convolutional Neural Network for Whole Slide Tissue Image Classification
Le Hou, Dimitris Samaras, Tahsin M. Kurc +3
Convolutional Neural Networks (CNN) are state-of-the-art models for many image classification tasks. However, to recognize cancer subtypes automatically, training a CNN on gigapixe…
Volumetric Mapping of Genus Zero Objects via Mass Preservation
Romeil Sandhu, Ayelet Dominitz, Yi Gao +1
In this work, we present a technique to map any genus zero solid object onto a hexahedral decomposition of a solid cube. This problem appears in many applications ranging from fini…