AI Research

Publications
AI 중심의 접근법,
루닛만의 차별화된 강점입니다.
Chest
Learning Visual Context by Comparison
Jul 15, 2020 — 2 MIN READ
Minchul Kim et al.
Chest
SRM: A Style-based Recalibration Module for Convolutional Neural Networks
Oct 27, 2019 — 2 MIN READ
HyunJae Lee1 et al.
Oncology
PseudoEdgeNet: Nuclei Segmentation only with Point Annotations
Oct 13, 2019 — 2 MIN READ
Inwan Yoo et al.
Chest
Learning Loss for Active Learning
Jun 16, 2019 — 2 MIN READ
Donggeun Yoo et al.

루닛만의 방식으로
세계를 압도합니다.

VisDA

2019

*Semi - Supervised Domain Adaptation Task

Camelyon

2017

MICCAI Grand Challenge

2016

*Tumor Proliferation Assessment

Main Task (CLS-LOC)

2015

언제나 정확도 99%를 지향합니다.

의학은 생명을 다루는 분야이기에 높은 정확도가 필수입니다.
단 1%의 오차가 생사를 결정할 수 있기 때문입니다.

루닛이 보유한 독자적인 최첨단 인공지능 딥러닝 기술은 놀라울 정도로 정확하며,
그렇기 때문에 우리의 목표는 언제나 정확도 99% 입니다.

All

Breast

Chest

Oncology

Chest
Learning Visual Context by Comparison
Jul 15, 2020 — 2 MIN READ
Minchul Kim et al.
Breast
Photometric Transformer Networks and Label Adjustment for Breast Density Prediction
Oct 27, 2019 — 2 MIN READ
Jaehwan Lee1 et al.
Chest
SRM: A Style-based Recalibration Module for Convolutional Neural Networks
Oct 27, 2019 — 2 MIN READ
HyunJae Lee1 et al.
Oncology
PseudoEdgeNet: Nuclei Segmentation only with Point Annotations
Oct 13, 2019 — 2 MIN READ
Inwan Yoo et al.
Chest
Learning Loss for Active Learning
Jun 16, 2019 — 2 MIN READ
Donggeun Yoo et al.
Chest
Batch-Instance Normalization for Adaptively Style-Invariant Neural Networks
Dec 3, 2018 — 2 MIN READ
Hyeonseob Nam et al.
Chest
CBAM: Convolutional Block Attention Module
Sep 8, 2018 — 2 MIN READ
Jongchan Park1 et al.
Chest
BAM: Bottleneck Attention Module
Sep 3, 2018 — 2 MIN READ
Jongchan Park et al.