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- 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...
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- 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...
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- 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...
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- 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....
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- 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...