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

Published by the American Journal of Pathology Vol. 192, No. 12, Dec. 2022 Mantle cell lymphoma (MCL) is a rare type of B-cell lymphoma...

台湾ベンチャー企業・aetherAI　A＋ラウンドで総額約6.8億円資金調達を完了

AIの活用で医療界の新基準を確立することを目標、海外展開も推進デジタルパソロジー及び医療画像AIの開発に強みを持つ台湾ソフトウェア会社・aetherAIは2022年10月末までにシリーズA＋ラウンドにおける資金調達を完了いたしましたことをお知らせいたします。...

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....

aetherAI’s Machine Learning Approach for T-cell Lymphomas Diagnosis Support published in Cancers

aetherAI presented a machine learning approach for accurate quantification of nuclear morphometrics and differential diagnosis of primary...

Glomerular disease classification and lesion identification by machine learning

Abstract Background Classification of glomerular diseases and identification of glomerular lesions require careful morphological...

Stain Mix-Up: Unsupervised Domain Generalization for Histopathology Images

Abstract Computational histopathology studies have shown that stain color variations considerably hamper the performance. Stain color...

Hybrid Aggregation Network for Survival Analysis from Whole Slide Histopathological Images

Abstract Understanding of prognosis and mortality is crucial for evaluating the treatment plans for patients. Recent developments of...

Identification of nodal micrometastasis in colorectal cancer by deep learning on annotation-free WSI

Published by Modern Pathology, June 2021 Abstract Detection of nodal micrometastasis (tumor size: 0.2–2.0 mm) is challenging for...

aetherAI's new article publishing in Scientific Reports

Deep learning approach for automatic landmark detection and alignment analysis in whole-spine lateral radiographs Abstract Human spinal...