Results 71 to 80 of about 3,185 (146)
[Discrimination of macrotrabecular-massive hepatocellular carcinoma based on fusion of multi-phase contrast-enhanced computed tomography radiomics features]. [PDF]
Zhang Z +7 more
europepmc +1 more source
[Adaptive lesion-aware fusion network for joint grading of multiple fundus diseases]. [PDF]
Zeng W, Guo S.
europepmc +1 more source
[Review of application of U-Net and Transformer in colon polyp image segmentation]. [PDF]
Shi Y, Sun S, Liu J, Ma J, Li M.
europepmc +1 more source
针对复杂环境下,红外图像存在低对比度、低信噪比、背景干扰较多导致避雷器本体分割不准的问题,本研究提出基于轻量化U-Net的改进语义分割算法。该算法采用倒残差结构(Inverted Residual)与挤压和激励网络(Squeeze-and-Excitation Networks,SENet)融合的方式建立主干网络,并在跳跃连接部分引入高效通道注意力(Efficient Channel Attention,ECA)机制,使网络性能得到增强的同时减少参数量和计算量。与PAN、DeepLabv3 ...
翁东雷 +5 more
doaj
[Detection of neurofibroma combining radiomics and ensemble learning]. [PDF]
Liu Y +6 more
europepmc +1 more source
[Enhancement of radiomics-based machine learning models for predicting efficacy of high-intensity focused ultrasound ablation of uterine fibroids using undersampling methods]. [PDF]
Cui Y +5 more
europepmc +1 more source

