id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-19195	Tong, Ke; Ding, Jurong; Li, Xia	Improved MRI Brain Tumor Segmentation Method Based on UNet++	2024	5	.pdf	application/pdf	3814	242	56	In addition, as the network gets deeper, there is a problem of gradient disappearance in the process of down-sampling, which will lead to a reduction in the network's ability to extract brain tumor features. This study proposed a mixed loss function by combining Dice loss and Cross-entropy loss, and the mixed loss function can consider the weight information of the categories of brain tumors, and fully suppress the effect of category imbalance on brain tumor segmentation.	cache/ajst-19195.pdf	txt/ajst-19195.txt