APPLICATION OF DEEP LEARNING FOR SEMANTIC SEGMENTATION IN ROBOTIC PROSTATECTOMY: COMPARISON OF CONVOLUTIONAL NEURAL NETWORKS AND VISUAL TRANSFORMERS

Application of deep learning for semantic segmentation in robotic prostatectomy: Comparison of convolutional neural networks and visual transformers

Purpose: Semantic segmentation is a fundamental part of the surgical application of deep learning.Traditionally, segmentation in vision tasks has been performed using convolutional neural networks (CNNs), but the transformer architecture has recently been introduced and widely investigated.We aimed to investigate the performance of deep learning mo

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The initial experience of MRI-guided precision prone breast irradiation with daily adaptive planning in treating early stage breast cancer patients

BackgroundA major challenge in breast radiotherapy is accurately targeting the surgical cavity volume.Application of the emerging MRI-guided radiotherapy (MRgRT) technique in breast radiotherapy may enable more accurate targeting and potentially reduce side effects associated with treatment.PurposeTo study the feasibility of delivering MRI-guided p

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