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cs.CV2024★ 1 cited
MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image Segmentation
Shehan Perera, Yunus Erzurumlu, Deepak Gulati +1
Skin cancer segmentation poses a significant challenge in medical image analysis. Numerous existing solutions, predominantly CNN-based, face issues related to a lack of global cont…
cs.CV2024
SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentation
Shehan Perera, Pouyan Navard, Alper Yilmaz
The adoption of Vision Transformers (ViTs) based architectures represents a significant advancement in 3D Medical Image (MI) segmentation, surpassing traditional Convolutional Neur…