Deep learning-based grading of ductal carcinoma in situ in breast histopathology images

Ductal carcinoma in situ (DCIS) is a non-invasive breast cancer that can progress into invasive ductal carcinoma (IDC). Studies suggest DCIS is often overtreated since a considerable part of DCIS lesions may never progress into IDC. Lower grade lesions have a lower progression speed and risk, possib...

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Veröffentlicht in:	Laboratory investigation 2021-04, Vol.101 (4), p.525-533
Hauptverfasser:	Wetstein, Suzanne C., Stathonikos, Nikolas, Pluim, Josien P.W., Heng, Yujing J., ter Hoeve, Natalie D., Vreuls, Celien P.H., van Diest, Paul J., Veta, Mitko
Format:	Artikel
Sprache:	eng
Schlagworte:	631/1647/48 631/67/1347 Agreements Automation Biopsy Breast - pathology Breast cancer Breast Neoplasms - diagnosis Breast Neoplasms - pathology Carcinoma, Intraductal, Noninfiltrating - diagnosis Carcinoma, Intraductal, Noninfiltrating - pathology Deep Learning Female Histopathology Humans Image analysis Image Interpretation, Computer-Assisted - methods Image processing Laboratory Medicine Lesions Life Sciences & Biomedicine Medical imaging Medicine Medicine & Public Health Medicine, Research & Experimental Middle Aged Neoplasm Grading - methods Observers Pathology Research & Experimental Medicine Robustness Science & Technology technical-report
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