Titlebook: Medical Image Understanding and Analysis; 27th Annual Conferen Gordon Waiter,Tryphon Lambrou,Sharon Gordon Conference proceedings 2024 The

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Can SegFormer be a True Competitor to U-Net for Medical Image Segmentation?+, nnU-Net, V-Net, etc. Vision transformers made a breakthrough in the computer vision world in 2021. Since then, many transformer based architectures or hybrid architectures (combining convolutional blocks and transformer blocks) have been proposed for image segmentation, that are challenging the p

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Harnessing the Potential of Deep Learning for Total Shoulder Implant Classification: A Comparative Sfy an implant can lead to significant surgical difficulties with consequent unfavorable outcomes. This paper proposes a novel framework to identify the make and model of seven (7) different total shoulder arthroplasty implants utilizing plain X-ray images and Artificial intelligence. The proposed wo

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TON-ViT: A Neuro-Symbolic AI Based on Task Oriented Network with a Vision Transformerntegrates a Deep Learning Model with an explicit symbolic manipulation, a task graph. This task graph describes the steps of each trauma resuscitation as denoted by a verb and noun pair. Through this representation, symbolic processing and manipulation on task graphs, we can find stereotypical proce

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A New Similarity Metric for Deformable Registration of MALDI–MS and MRI Imagesof tissues with high specificity, helping to elucidate their metabolic pathways. However, this technique is not necessarily informative about the structural organization of a tissue. Other modalities, such as Magnetic Resonance Imaging (MRI), reveal functional areas in tissue. Images are analyzed jo

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