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Medmain Inc. Has Been Selected for the U.S. Market Gateway Accelerator for BioSciences and MedTech
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Successful Development of Artificial Intelligence to Enable Classification of Cutaneous Melanoma in a Whole Slide Image of Dermatopathology ~ Published in Cancers
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Successful Development of Artificial Intelligence to Enable Detection of Prostate Cancer for Surveillance and Radical Treatment -Published in BMC Cancer-
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Successful Development of Artificial Intelligence to Infer Histological Views From Whole Slide Images and Generate Them Into Text – Published in Proceedings of Machine Learning Research –
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Successful Development of Pathology AI to Classify Suspected Urothelial Carcinoma Lesions – Published in Cancers / Special Issue: Artificial Intelligence in Cancer Screening –
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【Successful Development of Pathology AI】Now Possible to Classify Gastric Poorly Differentiated Adenocarcinoma – Published in “Technology in Cancer Research & Treatment”
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【Successful Development of Pathology AI】Now Possible for Highly Accurate Detection of Adenocarcinoma in Multiple Organs – Published in PLOS ONE
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【Successful Development of Pathology AI】Now Possible for Highly Accurate Detection of Prostate Cancer – Published in Cancers / Special Issue: Artificial Intelligence in Oncology –
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Medmain Inc. Established a Capital and Business Alliance with PSP and Raised 300 Million Yen to Accelerate the Promotion of Digital Pathology.
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【Selected for “NEDO Research and Development Start-up Support Project” in FY2022 – Medmain Inc.】
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【Successful Development of Pathological AI】Now Possible to Classify Prostate Cancer in Histopathological Whole Slide Images -Published in Diagnostics-
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【Successful Development of Pathological AI】Now Possible for Accurate and Rapid Cervical Cancer Screening – Published in Cancers / Special Issue: Artificial Intelligence in Oncology
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【Successful Development of Pathological AI】Now Possible to Classify Invasive/Non-invasive Breast Ductal Carcinoma -Published in Springer Nature –
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【Successful Development of Pathological AI】 Now possible to classify Poorly Differentiated Colorectal Adenocarcinoma -Published in Diagnostics/Special issue: Artificial Intelligence in Gastrointestinal Disease: Diagnosis and Management –
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【Successful Development of Pathological AI】 Now possible to classify Breast Invasive Ductal Carcinoma in histopathological whole slide images -Published in “Cancers / Special Issue: Artificial Intelligence in Oncology”
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Successful development of deep learning models to classify gastric diffuse-type adenocarcinoma in histopathological whole slide images – Published in Scientific Reports –
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[Announcement of Publication] In July 2021, our paper presented at the conference of Medical Imaging with Deep Learning (MIDL) was published in the Proceedings of Machine Learning Research – A pivotal investigation of Fundamental Technology for Transfer Learning-
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Successful development of deep learning models to classify gastric signet ring cell carcinoma in histopathological whole slide images – Published in Technology in Cancer Research and Treatment –
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Successful Development of an artificial intelligence (a deep learning) model to classify pancreatic adenocarcinoma in endoscopic ultrasound-guided fine needle aspiration (EUS-FNA) biopsy histopathological specimens. ― Published in Scientific Reports ―
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Successful Development of an Artificial Intelligence Model Using Deep Learning Approach to Establish Histological Sub-classification of Lung Cancer in Biopsy Specimens Whole Slide Images ― Published in Scientific Reports ―
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