Top anatomy diagrams including images of human anatomy systems, human body, organs, bones and muscles
We aim to overcome the difficulties of segmentation in CT images by training a VNet segmentation model which enables rapid labeling of organs in CT images with the model obtained by transfer learning using a small number of manually labeled images, called SEED images. We established a process ...
Step 2. For the unlabeled slices, the rectangle binary masks were created through interpolation of the surrounding labeled slices. Step 3. We transformed the binary masks into bounding boxes and then fed them along with the images into MedSAM to generate segmentation results. All these steps were...
However, this method results in cumulative errors as the number of predicted frames increases, which may impose greater limitations on the ability to predict total-body dynamic PET images because of the diverse metabolic peaks associated with different organs throughout the body. With these ...
Magnetic resonance imaging (MRI) plays an increasingly important role in radiotherapy, enhancing the accuracy of target and organs at risk delineation, but the absence of electron density information limits its further clinical application. Therefore, the aim of this study is to develop and evaluate ...
of features as input information29. In terms of high efficacy in the detection and differentiation of specific organs or lesions, DL combined with imaging for diagnosis is of great interest; five-minute magnetic resonance imaging (MRI) sequences augmented by DL superresolution could discriminate ...
Since the WSIs were labeled in slide-level without manual annotations of tumor regions, we firstly segmented the WSI to remove non-tissue regions and exclude any holes. During the tessellation process, we segmented the whole slide within the segmented foreground contours into 256 × 256 ...
1 While the survival rate for people with localized prostate cancer is more than 98%, it is reduced to 30% when the cancer spreads to other parts of the body, such as distant lymph nodes, bones, or other organs.1 This reduction in survival rate may be prevented with early diagnosis. ...
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structures of the human body [4,5]. Medical image processing, which encompasses detection, segmentation, registration, and fusion, is essential in this context. Currently, the focus of medical image segmentation is on images of various human organs, tissues, and cells, segmenting them into ...