Evolution of multiorgan segmentation techniques from traditional to deep learning in abdominal CT images–A systematic review
H Kaur, N Kaur, N Neeru - Displays, 2022 - Elsevier
Abdominal organ segmentation is the crucial research direction in computer assisted
diagnostic systems. Segmentation of multiple organs in medical images is known as …
diagnostic systems. Segmentation of multiple organs in medical images is known as …
A statistical deformation model-based data augmentation method for volumetric medical image segmentation
The accurate delineation of organs-at-risk (OARs) is a crucial step in treatment planning
during radiotherapy, as it minimizes the potential adverse effects of radiation on surrounding …
during radiotherapy, as it minimizes the potential adverse effects of radiation on surrounding …
Quantification of liver-Lung shunt fraction on 3D SPECT/CT images for selective internal radiation therapy of liver cancer using CNN-based segmentations and non …
Purpose: Selective internal radiation therapy (SIRT) has been proven to be an effective
treatment for hepatocellular carcinoma (HCC) patients. In clinical practice, the treatment …
treatment for hepatocellular carcinoma (HCC) patients. In clinical practice, the treatment …
vox2vec: A framework for self-supervised contrastive learning of voxel-level representations in medical images
This paper introduces vox2vec—a contrastive method for self-supervised learning (SSL) of
voxel-level representations. vox2vec representations are modeled by a Feature Pyramid …
voxel-level representations. vox2vec representations are modeled by a Feature Pyramid …
Multi-dimensional cascaded net with uncertain probability reduction for abdominal multi-organ segmentation in CT sequences
C Li, Y Mao, Y Guo, J Li, Y Wang - Computer Methods and Programs in …, 2022 - Elsevier
Abstract Background and Objective Deep learning abdominal multi-organ segmentation
provides preoperative guidance for abdominal surgery. However, due to the large volume of …
provides preoperative guidance for abdominal surgery. However, due to the large volume of …
Voxel-wise adversarial semi-supervised learning for medical image segmentation
Abstract Background and Objective: Semi-supervised learning for medical image
segmentation is an important area of research for alleviating the huge cost associated with …
segmentation is an important area of research for alleviating the huge cost associated with …