1 citations · 2 across the 2 of their papers we have counts for
2 papers
eess.IV2022★ 1 cited
PARSE challenge 2022: Pulmonary Arteries Segmentation using Swin U-Net Transformer(Swin UNETR) and U-Net
Akansh Maurya, Kunal Dashrath Patil, Rohan Padhy +2
In this work, we present our proposed method to segment the pulmonary arteries from the CT scans using Swin UNETR and U-Net-based deep neural network architecture. Six models, thre…
cs.CV2016★ 1 cited
Semi-supervised Learning using Denoising Autoencoders for Brain Lesion Detection and Segmentation
Varghese Alex, Kiran Vaidhya, Subramaniam Thirunavukkarasu +2
The work presented explores the use of denoising autoencoders (DAE) for brain lesion detection, segmentation and false positive reduction. Stacked denoising autoencoders (SDAE) wer…