Software performance in segmenting ground-glass and solid components of subsolid nodules in pulmonary adenocarcinomas
Julien G. Cohen(Centre Hospitalier Universitaire de Grenoble), Young Tae Kim(Ulsan College), Bram van Ginneken(Radboud University Nijmegen), Roh‐Eul Yoo(Seoul National University), Chang Min Park(Seoul National University), Chang Hyun Lee(Seoul National University Hospital), Doo Hyun Chung(Seoul National University), Jin Mo Goo(Cancer Research Institute)
Cited by 51
Related Papers
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
|JAMA|2017|3.3k
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
|Nature Medicine|2022|499
Visual-Functional Mismatch Between Coronary Angiography and Fractional Flow Reserve
|JACC: Cardiovascular Interventions|2012|325
2021 Korean Thyroid Imaging Reporting and Data System and Imaging-Based Management of Thyroid Nodules: Korean Society of Thyroid Radiology Consensus Statement and Recommendations
|Korean Journal of Radiology|2021|277
Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities
|Scientific Reports|2017|236