Development of deep learning model for diagnosing muscle-invasive bladder cancer on MRI with vision transformer

Rationale and objectives: To develop and validate a deep learning (DL) model to automatically diagnose muscle-invasive bladder cancer (MIBC) on MRI with Vision Transformer (ViT). Materials and methods: This multicenter retrospective study included patients with BC who reported to two institutions be...

وصف كامل

التفاصيل البيبلوغرافية

الحاوية / القاعدة:	Heliyon
المؤلفون الرئيسيون:	Yasuhisa Kurata, Mizuho Nishio, Yusaku Moribata, Satoshi Otani, Yuki Himoto, Satoru Takahashi, Jiro Kusakabe, Ryota Okura, Marina Shimizu, Keisuke Hidaka, Naoko Nishio, Akihiko Furuta, Aki Kido, Kimihiko Masui, Hiroyuki Onishi, Takehiko Segawa, Takashi Kobayashi, Yuji Nakamoto
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	Elsevier 2024-08-01
الموضوعات:	Bladder cancer Deep learning Convolutional neural network MRI Vision transformer
الوصول للمادة أونلاين:	http://www.sciencedirect.com/science/article/pii/S2405844024121755