Deep Learning Model Predicts Pituitary Tumor Subtypes from Routine Slides
A clinically conditional deep learning model combining whole-slide images with clinical features predicted five pituitary neuroendocrine tumor subtypes with 91.8% ...
A clinically conditional deep learning model combining whole-slide images with clinical features predicted five pituitary neuroendocrine tumor subtypes with 91.8% ...
A new text-driven multiple instance learning model, TedMIL, improved fine-grained melanoma classification and FISH status prediction from whole slide images ...
A retrospective study in high-grade serous tubo-ovarian carcinoma found that HRDPath inferred homologous recombination deficiency from pathology slides with an ...
A new deep learning architecture called TexTNet integrates local binary pattern texture features into a Swin Transformer's attention mechanism to ...
A multi-task deep learning model that fuses pretreatment MRI and whole slide pathology images outperformed standard staging in predicting chemotherapy ...
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© 2025 Scienmag - Science Magazine