2024年7月5日
Deep Residual Learning-Based Classification with Identification of Incorrect Predictions and Quantification of Cellularity and Nuclear Morphological Features
Published by Cancers 2024, 16(13), 2449 Interobserver variations in the pathology of common astrocytic tumors impact diagnosis and...
2024年7月5日
Two-tiered deep-learning-based model for histologic diagnosis of Helicobacter gastritis
Published by Histopathology 2023 Nov;83(5):771-781 Helicobacter pylori (HP) infection is the most common cause of chronic gastritis...
2023年1月4日
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...
2022年6月11日
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....
2021年10月27日
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...
2021年9月20日
Glomerular disease classification and lesion identification by machine learning
Abstract Background Classification of glomerular diseases and identification of glomerular lesions require careful morphological...
2021年9月14日
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...
2021年9月4日
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...
2021年6月8日
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...
2021年3月11日
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...
2021年2月11日
Artificial Intelligence–Based Screening for Mycobacteria in Whole-Slide Images of Tissue Samples
Abstract Objectives This study aimed to develop and validate a deep learning algorithm to screen digitized acid fast–stained (AFS) slides...
2021年2月5日
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...
2021年1月14日
aetherAI's new article publishing in Annals of Translational Medicine
Predicting aggressive histopathological features in esophageal cancer with positron emission tomography using a deep convolutional neural...
2020年2月10日
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...
2019年6月30日
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...