The challenge of the multi-class segmentation problem is that the two lesions (GGO and CO) are difficult to distinguish. Fig. 8 shows typical multi-class infection segmentation results on CC-COVID dataset [53]. From Fig. 8, we can find that both the segmentation results of GGO and CO ...
In: International conference on medical image computing and computer-assisted intervention, Springer, pp 263–273 Landman B, Xu Z, Igelsias J, Styner M, Langerak T, Klein A (2015) Miccai multi-atlas labeling beyond the cranial vault–workshop and challenge. In: Proc. MICCAI multi-atlas ...
The recent implementation employs features based on grey-level co-occurrence matrices and Gabor filters. The algorithm was evaluated on real medical imaging data from the LCTCS 2017 challenge. The results were also compared with the outcomes of other segmentation methods. The proposed approach ...
While quartz and feldspar have almost similar ranges of density, micas (particularly biotite) have greater density resulting in high intensity regions in the images, which highly influence surrounding materials and present a significant challenge for fracture segmentation when it passes through this ...
the infected individuals is considered the most effective prevention strategy5,6. Hence, researchers have proposed various computational methods based on deep learning to detect COVID-19 using various image sources. Ozturk et al.7proposed a deep learning approach (DarkCovidNet) composed of ...
The limited number of patients included in the trials poses a challenge for drawing definitive conclusions regarding the prognostic value and clinical utility of baseline [18F]FDG PET and TMTV measurements in MM patients. Conclusions Our work revealed that a high number of FL (n > 10; ...
It’s a complex engineering challenge, which becomes increasingly difficult with ASML’s next-generation EUV lithography tools. Here a symphony of robots operates in parallel to move the reticle into and out of the vacuum chamber. For every one million movements, the reticle handler can’t genera...
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: results of the KiTS19 challenge. Med Image Anal. 2021;67:101821. Article PubMed Google Scholar Si K, Xue Y, Yu X, Zhu X, Li Q, Gong W, Liang T, Duan S. Fully end-to-end deep-...
Cell-free DNA (cfDNA) derived from tumours is present in the plasma of cancer patients. The majority of currently available studies on the use of this circulating tumour DNA (ctDNA) deal with the detection of mutations. The analysis of cfDNA is often dis
[25] proposed ResMLP to address the challenge that visual MLP models often rely on large datasets. ResMLP shows superior performance on the ImageNet dataset with only skip connection and distillation operation. The above models uniformly use the skip connection and normalization to ensure stable ...