Picture for Byungjae Lee

Byungjae Lee

Deep Learning Methods for Lung Cancer Segmentation in Whole-slide Histopathology Images -- the ACDC@LungHP Challenge 2019

Add code
Aug 21, 2020
Figure 1 for Deep Learning Methods for Lung Cancer Segmentation in Whole-slide Histopathology Images -- the ACDC@LungHP Challenge 2019
Figure 2 for Deep Learning Methods for Lung Cancer Segmentation in Whole-slide Histopathology Images -- the ACDC@LungHP Challenge 2019
Figure 3 for Deep Learning Methods for Lung Cancer Segmentation in Whole-slide Histopathology Images -- the ACDC@LungHP Challenge 2019
Figure 4 for Deep Learning Methods for Lung Cancer Segmentation in Whole-slide Histopathology Images -- the ACDC@LungHP Challenge 2019
Viaarxiv icon

A Robust and Effective Approach Towards Accurate Metastasis Detection and pN-stage Classification in Breast Cancer

May 30, 2018
Figure 1 for A Robust and Effective Approach Towards Accurate Metastasis Detection and pN-stage Classification in Breast Cancer
Figure 2 for A Robust and Effective Approach Towards Accurate Metastasis Detection and pN-stage Classification in Breast Cancer
Figure 3 for A Robust and Effective Approach Towards Accurate Metastasis Detection and pN-stage Classification in Breast Cancer
Figure 4 for A Robust and Effective Approach Towards Accurate Metastasis Detection and pN-stage Classification in Breast Cancer
Viaarxiv icon

Multi-Class Multi-Object Tracking using Changing Point Detection

Aug 30, 2016
Figure 1 for Multi-Class Multi-Object Tracking using Changing Point Detection
Figure 2 for Multi-Class Multi-Object Tracking using Changing Point Detection
Figure 3 for Multi-Class Multi-Object Tracking using Changing Point Detection
Figure 4 for Multi-Class Multi-Object Tracking using Changing Point Detection
Viaarxiv icon