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 ...
Abstract: Accurate medical image segmentation is crucial in clinical applications. The existing Swin-UNet model overcomes the limitations of traditional Transformers in handling local details and high ...
With 4 million app downloads, Estonia-based startup Vocal Image aims to help people improve their voice and communication skills with AI-powered coaching. But out of its 160,000 active users, it may ...
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 ...
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 ...
ABSTRACT: In this paper, a novel multilingual OCR (Optical Character Recognition) method for scanned papers is provided. Current open-source solutions, like Tesseract, offer extremely high accuracy ...
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