Abstract: In the clinical diagnosis of prostate cancer, transrectal ultrasound (TRUS) is a commonly used examination method. Accurate segmentation of the prostate from TRUS images is crucial for ...
Abstract: The shape and size of the placenta are closely related to fetal development in the second and third trimesters of pregnancy. Accurately segmenting the placental contour in ultrasound images ...
As shown below, the inferred masks look similar to the ground truth masks, but they lack precision in certain areas. The AeroScapes aerial semantic segmentation benchmark comprises of images captured ...
Introduction: Quantifying adiposity, a key biomarker of metabolic health, typically requires imaging that involves radiation, high costs, and manual effort. We developed an AI framework to segment ...
Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...
This is the first experiment of Image Segmentation for CHAOS-MR-T2SPIR Multiclass (Liver, Kidney and Spleen) based on our TensorFlowFlexUNet (TensorFlow Flexible UNet Image Segmentation Model for ...
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