研究論文 | aetherAI

實踐 GigaPixel AI

自 2012年起，卷積神經網路（Convolutional Neural Network，CNN）在深度學習的推動下，影像的辨識與分類能力大為突破，備受矚目，先進 AI 技術大量湧向醫療影像與病理運算；然而，這些演算法並沒有與現實場域、即病理臨床工作流程整合，與實際應用形成相當大的落差。

論文發表

Deep Learning-Based Nuclear Morphometry Reveals an Independent Prognostic Factor in MCL

刊載於 the American Journal of Pathology Vol. 192, No. 12, Dec. 2022 被套區細胞淋巴瘤 (Mantle cell lymphoma，MCL) 是一種較罕見的慢性惡性淋巴瘤，常見症狀有貧血、發燒、淋巴腫脹、腸道瘜肉...

Deep neural network trained on gigapixel images improves lymph node metastasis detection

Published by Nature Communications, 10 June 2022 The pathological identification of lymph node (LN) metastasis is demanding and tedious....

運用AI輔助診斷罕見腫瘤實現精準醫療雲象科技共同研究登上國際權威期刊

Published by Cancers, Oct. 2021 數位病理及醫療影像AI領導廠商 - 雲象科技所研發的醫療影像AI應用，成功協助醫師對淋巴瘤可有更細緻且精確的診斷方法，這項研究成果已獲刊登於國際知名醫療期刊《Cancers》，肯定技術應用的突破。...

Glomerular disease classification and lesion identification by machine learning

Published by Biomedical Journal, Sept. 2021 Abstract Background Classification of glomerular diseases and identification of glomerular...

Stain Mix-Up: Unsupervised Domain Generalization for Histopathology Images

Published by MICCAI2021, Sept. 2021 Abstract Computational histopathology studies have shown that stain color variations considerably...