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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...

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

Published by Cancers, Oct. 2021 aetherAI presented a machine learning approach for accurate quantification of nuclear morphometrics and...

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...

Hybrid Aggregation Network for Survival Analysis from Whole Slide Histopathological Images

Published by MICCAI2021, Sept. 2021 Abstract Understanding of prognosis and mortality is crucial for evaluating the treatment plans for...

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...

Deep learning approach for automatic landmark detection in whole-spine lateral radiographs

Published by Scientific Report, April 2021 Deep learning approach for automatic landmark detection and alignment analysis in whole-spine...

Artificial Intelligence–Based Screening for Mycobacteria in Whole-Slide Images of Tissue Samples

Published by American Journal of Clinical Pathology, Feb. 2021 Abstract Objectives This study aimed to develop and validate a deep...

An annotation-free whole-slide training approach to pathological classification of lung cancer types

Published by Nature Communications, Feb. 2021 Abstract Deep learning for digital pathology is hindered by the extremely high spatial...

aetherAI's new article publishing in Annals of Translational Medicine

Published by Annals of Translational Medicine, Jan. 2021 Predicting aggressive histopathological features in esophageal cancer with...

Successful Identification of Nasopharyngeal Carcinoma in Nasopharyngeal Biopsies Using Deep Learning

Published by Cancers, Feb. 2020 Abstract Pathologic diagnosis of nasopharyngeal carcinoma (NPC) can be challenging since most cases are...

Deep Convolutional Neural Network-Based Positron Emission Tomography Analysis Predicts Esophageal Ca

Published by Journal of Clinical Medicine on 13 June 2019 Abstract In esophageal cancer, few prediction tools can be confidently used in...