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투자 관련 소식
전자증권 전환대상 주권 등의 권리자 보호 안내
Transition : 쉿, 이제 안전해 나의 작은 Suspense
External Evaluation of 3 Commercial Artificial Intelligence Algorithms for Independent Assessment of Screening Mammograms
JAMA Oncology (2020) — Aug 27, 2020
Mattie Salim, MD et al.
Deep-learning algorithms for the interpretation of chest radiographs to aid in the triage of COVID-19 patients: A multicenter retrospective study
PLOS ONE (2020) — Nov 24, 2020
Se Bum Jang et al.
Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms
JAMA Network Open (2020) — Mar 2, 2020
Thomas Schaffter, PhD et al.
Effect of artificial intelligence-based triaging of breast cancer screening mammograms on cancer detection and radiologist workload: a retrospective simulation study
Lancet Digital Health (2020) — Sep 1, 2020
Mattie Salim, MD et al.
Validation of a Deep Learning Algorithm for the Detection of Malignant Pulmonary Nodules in Chest Radiographs
JAMA Network Open (2020) — Sep 24, 2020
Hyunsuk Yoo et al.
Photometric Transformer Networks and Label Adjustment for Breast Density Prediction
ICCV 2019 Workshop — Oct 27, 2019
Jaehwan Lee1 et al.
SRM: A Style-based Recalibration Module for Convolutional Neural Networks
ICCV (2019) — Oct 27, 2019
HyunJae Lee1 et al.
Learning Visual Context by Comparison
ECCV (2020) — Jul 15, 2020
Minchul Kim et al.
Reducing Domain Gap by Reducing Style Bias
CVPR (2021) — Jun 21, 2021
Hyeonseob Nam et al.
Deep learning from HE slides predicts the clinical benefit from adjuvant chemotherapy in hormone receptor-positive breast cancer patients
Scientific Reports (2021) — Aug 30, 2021
Soo Youn Cho et al.
COVID-19 pneumonia on chest X-rays: Performance of a deep learning-based computer-aided detection system
PLOS ONE (2021) — Jun 7, 2021
Eui Jin Hwang et al.
AI-based improvement in lung cancer detection on chest radiographs: results of a multi-reader study in NLST dataset
European Radiology (2021) — Jun 4, 2021
Hyunsuk Yoo et al.
Application of artificial intelligence–based computer-assisted diagnosis on synthetic mammograms from breast tomosynthesis: comparison with digital mammograms
European Radiology (2021) — Mar 12, 2021
Si Eun Lee et al.
Performance of a deep-learning algorithm for referable thoracic abnormalities on chest radiographs: A multicenter study of a health screening cohort
PLOS ONE (2021) — Feb 19, 2021
Eun Young Kim et al.
Undetected Lung Cancer at Posteroanterior Chest Radiography: Potential Role of a Deep Learning–based Detection Algorithm
Radiology (2020) — Dec 10, 2020
Ju Gang Nam et al.
Development and validation of a deep learning algorithm detecting 10 common abnormalities on chest radiographs
European Respiratory Journal (2020) — Nov 3, 2020
Ju Gang Nam et al.
Performance of a Deep-learning Algorithm Compared to Radiologic Interpretation for Lung Cancer Detection on Chest Radiographs in a Health Screening Population
Radiology (2020) — Sep 22, 2020
Jong Hyuk Lee et al.
Deep-learning Based Automated Detection Algorithm for Active Pulmonary Tuberculosis on Chest Radiographs: Diagnostic Performance in Systematic Screening of Asymptomatic Individuals
European Radiology (2020) — Aug 28, 2020
Jong Hyuk Lee et al.
Automated identification of chest radiographs with referable abnormality with deep learning: need for recalibration
European Radiology (2020) — Jul 14, 2020
Eui Jin Hwang et al.
Deep Learning–based Automatic Detection Algorithm for Reducing Overlooked Lung Cancers on Chest Radiographs
Radiology (2020) — Jul 21, 2020
Sowon Jang et al.
Accuracy and efficiency of an artificial intelligence tool when counting breast mitoses
Diagnostic Pathology (2020) — Jul 4, 2020
Liron Pantanowitz et al.
Clinical Validation of a Deep Learning Algorithm for Detection of Pneumonia on Chest Radiographs in Emergency Department Patients with Acute Febrile Respiratory Illness
Journal of Clinical Medicine (2020) — Jun 24, 2020
Jae Hyun Kim et al.
Implementation of a Deep Learning-Based Computer-Aided Detection System for the Interpretation of Chest Radiographs in Patients Suspected for COVID-19
Korean Journal of Radiology (2020) — Apr 27, 2020
Eui Jin Hwang, MD, PhD et al.
Deep learning algorithm for surveillance of pneumothorax after lung biopsy: a multicenter diagnostic cohort study
European Radiology (2020) — Mar 11, 2020
Eui Jin Hwang et al.
Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study
Lancet Digital Health (2020) — Mar 1, 2020
Hyo-Eun Kim, PhD et al.
Test-retest reproducibility of a deep learning–based automatic detection algorithm for the chest radiograph
European Radiology (2020) — Jan 3, 2020
Hyungjin Kim et al.
Deep Learning for Chest Radiograph Diagnosis in the Emergency Department
Radiology (2019) — Oct 22, 2019
Eui Jin Hwang et al.
Development and Validation of a Deep Learning–Based Automated Detection Algorithm for Major Thoracic Diseases on Chest Radiographs
JAMA Network Open (2019) — Mar 22, 2019
Eui Jin Hwang et al.
Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge
Medical Image Analysis (2019) — Feb 12, 2019
Mitko Veta et al.
Development and Validation of a Deep Learning–based Automatic Detection Algorithm for Active Pulmonary Tuberculosis on Chest Radiographs
Clinical Infectious Diseases (2018) — Nov 8, 2018
Eui Jin Hwang et al.
Development and Validation of a Deep Learning–based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs
Radiology (2018) — Sep 25, 2018
Sunggyun Park et al.
Applying Data-driven Imaging Biomarker in Mammography for Breast Cancer Screening: Preliminary Study
Scientific Reports (2018) — Feb 9, 2018
Eun-Kyung Kim et al.