Contains fulltext : 181251.pdf (publisher's version ) (Closed access
Accurate early detection of breast and cervical cancer is vital for treatment success. Here, we cond...
This study aimed to explore the feasibility of using a deep-learning (DL) approach to predict TIL le...
PURPOSE: To develop a deep network architecture that would achieve fully automated radiologist-level...
© 2017 American Medical Association. All rights reserved.IMPORTANCE: Application of deep learning al...
International audienceIMPORTANCE Application of deep learning algorithms to whole-slide pathology im...
Contains fulltext : 200010.pdf (publisher's version ) (Open Access)Radboud Univers...
Contains fulltext : 178907.pdf (publisher's version ) (Open Access)Promotor : Kars...
Diagnosis is a crucial step to identify the disease that experienced by the patient. Diagnosis inclu...
Natural Language Processing (NLP), Information extraction, Cancer Diagnosis extraction, Breast cance...
Breast cancer is one of the precarious conditions that affect women, and a substantive cure has not ...
The involvement of axillary lymph node metastasis in breast cancer is one of the most important inde...
Abstract: In recent years researchers are intensely using machine learning and employing AI techniqu...
Contains fulltext : 236812.pdf (Publisher’s version ) (Closed access
ObjectivesTo develop and validate a deep learning (DL)-based primary tumor biopsy signature for pred...
Simple Summary Pathology is a cornerstone in cancer diagnostics, and digital pathology and artificia...
Accurate early detection of breast and cervical cancer is vital for treatment success. Here, we cond...
This study aimed to explore the feasibility of using a deep-learning (DL) approach to predict TIL le...
PURPOSE: To develop a deep network architecture that would achieve fully automated radiologist-level...
© 2017 American Medical Association. All rights reserved.IMPORTANCE: Application of deep learning al...
International audienceIMPORTANCE Application of deep learning algorithms to whole-slide pathology im...
Contains fulltext : 200010.pdf (publisher's version ) (Open Access)Radboud Univers...
Contains fulltext : 178907.pdf (publisher's version ) (Open Access)Promotor : Kars...
Diagnosis is a crucial step to identify the disease that experienced by the patient. Diagnosis inclu...
Natural Language Processing (NLP), Information extraction, Cancer Diagnosis extraction, Breast cance...
Breast cancer is one of the precarious conditions that affect women, and a substantive cure has not ...
The involvement of axillary lymph node metastasis in breast cancer is one of the most important inde...
Abstract: In recent years researchers are intensely using machine learning and employing AI techniqu...
Contains fulltext : 236812.pdf (Publisher’s version ) (Closed access
ObjectivesTo develop and validate a deep learning (DL)-based primary tumor biopsy signature for pred...
Simple Summary Pathology is a cornerstone in cancer diagnostics, and digital pathology and artificia...
Accurate early detection of breast and cervical cancer is vital for treatment success. Here, we cond...
This study aimed to explore the feasibility of using a deep-learning (DL) approach to predict TIL le...
PURPOSE: To develop a deep network architecture that would achieve fully automated radiologist-level...
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