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Automatic measurement of fetal cavum septum pellucidum from ultrasound images using deep attention network
Y Wu, K Shen, Z Chen, J Wu - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
The measurement of cavum septum pellucidum is an important step in prenatal testing.
However, this process is usually done manually, which is such a difficult and time …
However, this process is usually done manually, which is such a difficult and time …
[PDF][PDF] Distill DSM: Computationally efficient method for segmentation of medical imaging volumes
H Maheshwari, V Goel… - Medical Imaging with …, 2021 - proceedings.mlr.press
Accurate segmentation of volumetric scans like MRI and CT scans is highly demanded for
surgery planning in clinical practice, quantitative analysis, and identification of disease …
surgery planning in clinical practice, quantitative analysis, and identification of disease …
Fantom: Federated Adversarial Network for Training Multi-Sequence Magnetic Resonance Imaging in Semantic Segmentation
A Borthakur, A Srivastava, A Kar… - … Conference on Image …, 2024 - ieeexplore.ieee.org
Ischemic stroke lesions (ISL) segmentation aids clinicians in the diagnosis of stroke in acute
care units. But, a generalized segmentation model requires data from various patients …
care units. But, a generalized segmentation model requires data from various patients …
Semantic Segmentation, Detection AND Localisation of Mucosal Lesions from Gastrointestinal Endoscopic Images Using SUMNET.
V Balasubramanian, R Kumar, SJ Kamireddi… - EndoCV …, 2020 - scholar.archive.org
1. METHOD We trained a fully convolutional neural network based on SUMNet [1]
architecture, described in Fig. 1, using Pytorch, for segmentation, detection and localization …
architecture, described in Fig. 1, using Pytorch, for segmentation, detection and localization …
Significance of Residual Learning and Boundary Weighted Loss in Ischaemic Stroke Lesion Segmentation
Radiologists use various imaging modalities to aid in different tasks like diagnosis of
disease, lesion visualization, surgical planning and prognostic evaluation. Most of these …
disease, lesion visualization, surgical planning and prognostic evaluation. Most of these …