Title 题目 Universal and extensible language-vision models for organ segmentation and tumor detection from abdominal computed tomography 用于腹部计算机断层扫描中器官分割和肿瘤检测的通用且可扩展的语言-视觉模型 01 文献速递介绍 计算
文章目录 A Model-Agnostic Framework for Universal Anomaly Detection of Multi-organ and Multi-modal Images摘要方法实验结果 A Model-Agnostic Framework for Universal Anomaly Detection of Multi-organ and Mul
【论文题目】 Rapid advances in auto-segmentation of organs at risk and target volumes in head and neck cancer 头部和颈部癌症危险器官和靶体积的自动分割的快速发展 【期刊】 Radiotherapy and Oncology,2019(130-140) 【摘要】 准确描绘靶区和危及器官对
基于硬区域加权损失的可分卷积神经网络的头颈CT高危器官自动分割 Automatic Segmentation of Organs-at-Risk from Head-and-Neck CT using Separable Convolutional Neural Network with Hard-Region-Weighted Loss 摘要 目的:从不确定的头颈部HAN CT图像中准