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Inaugurated in 1999, the sculpture garden was designed by the sculptor Shamim Sikder and represents the struggle and pride of the Bengali nation, featuring a main sculpture topped by Bangladesh’s national flag which is surrounded by 103 smaller statures, mostly representing the faces of pioneering ...
In medical imaging, the use of CNNs for 2D–3D reconstruction of human knee bones directly from actual X-ray images continues to be reported29. These studies reconstructed the four bones of the knee (femur, patella, tibia and fibula) with an average chamfer of 1.87 mm. As in our method...
These images contain various parts of the human body, including the pelvis, chest, knee, hand, foot, and spine. The ROIs are correctly detected on 196 images out of 200. Conclusions In this paper, we presented a new system for digital X-ray image display using optimization and edge ...
The automatic segmentation of human knee cartilage from 3D MR images is a useful yet challenging task due to the thin sheet structure of the cartilage with diffuse boundaries and inhomogeneous intensities. In this paper, we present an iterative multi-class learning method to segment the femoral, ...
New T-back bralettes have a fabulous single band running down the back to meet the horizontal body-band below. Made from lacy fabric, you can wear a T-back bralette with any type of skirt that is pencil straight or flared, but reaches down to knee-length or below. There’s good breas...
Generally, the aim of the DRR generation process is to translate volumetric data on a part or all of the human body that has been obtained by a CT scan from an image with 3D characteristics into an image in a single 2D plane. As illustrated in Fig. 1, the DRR generation process begins...
Such methods are further investigated to estimate an HR image along with learning the residual/difference in estimated HR and ground truth images to improve the estimation of HR images [19]. A similar residual learning-based strategy is used for super resolving the musculoskeletal-knee MR images ...
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