most citedMixed-UNet: Refined Class Activation Mapping for Weakly-Supervised Semantic Segmentation with Multi-scale Inference

3 citations · 6 across the 3 of their papers we have counts for

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eess.IV2022

RCMNet: A deep learning model assists CAR-T therapy for leukemia

Ruitao Zhang, Xueying Han, Ijaz Gul +8

Acute leukemia is a type of blood cancer with a high mortality rate. Current therapeutic methods include bone marrow transplantation, supportive therapy, and chemotherapy. Although…

eess.IV2022★ 3 cited

Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised Semantic Segmentation with Multi-scale Inference

Yang Liu, Ersi Zhang, Lulu Xu +13

Deep learning techniques have shown great potential in medical image processing, particularly through accurate and reliable image segmentation on magnetic resonance imaging (MRI) s…