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eess.IV2024
Efficient MedSAMs: Segment Anything in Medical Images on Laptop
Jun Ma, Feifei Li, Sumin Kim +79
Promptable segmentation foundation models have emerged as a transformative approach to addressing the diverse needs in medical images, but most existing models require expensive co…
eess.IV2022
CANet: Channel Extending and Axial Attention Catching Network for Multi-structure Kidney Segmentation
Zhenyu Bu, Kai-Ni Wang, Guang-Quan Zhou
Renal cancer is one of the most prevalent cancers worldwide. Clinical signs of kidney cancer include hematuria and low back discomfort, which are quite distressing to the patient.…