Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge

no code implementations • 22 Jul 2018 • Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann, Karl Rohr, Manan A. Shah, Dayong Wang, Mikael Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Viana, Vassili Kovalev, Vitali Liauchuk, Hady Ahmady Phoulady, Talha Qaiser, Simon Graham, Nasir Rajpoot, Erik Sjöblom, Jesper Molin, Kyunghyun Paeng, Sangheum Hwang, Sunggyun Park, Zhipeng Jia, Eric I-Chao Chang, Yan Xu, Andrew H. Beck, Paul J. van Diest, Josien P. W. Pluim

The best performing automatic method for the first task achieved a quadratic-weighted Cohen's kappa score of $\kappa$ = 0. 567, 95% CI [0. 464, 0. 671] between the predicted scores and the ground truth.

Mitosis Detection whole slide images

Accurate Lung Segmentation via Network-Wise Training of Convolutional Networks

2 code implementations • 2 Aug 2017 • Sangheum Hwang, Sunggyun Park

We introduce an accurate lung segmentation model for chest radiographs based on deep convolutional neural networks.

Segmentation

A Unified Framework for Tumor Proliferation Score Prediction in Breast Histopathology

1 code implementation • 21 Dec 2016 • Kyunghyun Paeng, Sangheum Hwang, Sunggyun Park, Minsoo Kim

We present a unified framework to predict tumor proliferation scores from breast histopathology whole slide images.

Mitosis Detection whole slide images

Action-Driven Object Detection with Top-Down Visual Attentions

no code implementations • 20 Dec 2016 • Donggeun Yoo, Sunggyun Park, Kyunghyun Paeng, Joon-Young Lee, In So Kweon

In this paper, we present an "action-driven" detection mechanism using our "top-down" visual attention model.

Object object-detection +1

Pixel-Level Domain Transfer

1 code implementation • 24 Mar 2016 • Donggeun Yoo, Namil Kim, Sunggyun Park, Anthony S. Paek, In So Kweon

We present an image-conditional image generation model.

Conditional Image Generation

AttentionNet: Aggregating Weak Directions for Accurate Object Detection

no code implementations • ICCV 2015 • Donggeun Yoo, Sunggyun Park, Joon-Young Lee, Anthony S. Paek, In So Kweon

We present a novel detection method using a deep convolutional neural network (CNN), named AttentionNet.

General Classification Human Detection +4

Fisher Kernel for Deep Neural Activations

no code implementations • 4 Dec 2014 • Donggeun Yoo, Sunggyun Park, Joon-Young Lee, In So Kweon

In this paper, we present a straightforward framework for better image representation by combining the two approaches.