
- Jun 10
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....

- Oct 27, 2021
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...

- Sep 20, 2021
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...

- Sep 14, 2021
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...

- Sep 4, 2021
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...

- Jun 7, 2021
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...

- Mar 11, 2021
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...

- Feb 11, 2021
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...

- Feb 4, 2021
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...

- Jan 14, 2021
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...

- Feb 9, 2020
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...

- Jun 30, 2019
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...