Deep Interactive Learning-based ovarian cancer segmentation of H&E-stained whole slide images to study morphological patterns of BRCA mutation

Deep learning has been widely used to analyze digitized hematoxylin and eosin (H&E)-stained histopathology whole slide images. Automated cancer segmentation using deep learning can be used to diagnose malignancy and to find novel morphological patterns to predict molecular subtypes. To train pixel-w...

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Ngā kaituhi matua:	David Joon Ho, M. Herman Chui, Chad M. Vanderbilt, Jiwon Jung, Mark E. Robson, Chan-Sik Park, Jin Roh, Thomas J. Fuchs
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	Elsevier 2023-01-01
Rangatū:	Journal of Pathology Informatics
Ngā marau:	Computational pathology Deep learning Ovarian cancer Segmentation Annotation
Urunga tuihono:	http://www.sciencedirect.com/science/article/pii/S2153353922007544
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!