Https://www107.zippyshare.com/v/zgtysp8m/file.html Site

The hosting service Zippyshare officially . Files hosted there are no longer accessible. If you are looking for the content that was in that file, you should refer to the official UNet++ GitHub repository or the original dataset on Kaggle .

The link you provided is associated with a dataset or resource used in a specific research paper on . Associated Research Paper https://www107.zippyshare.com/v/ZGtYsP8M/file.html

: To improve medical image segmentation by using a "nested" and "dense" architecture that bridges the semantic gap between the encoder and decoder feature maps. The hosting service Zippyshare officially

The specific file ID in your URL ( ZGtYsP8M ) was frequently shared in academic and developer communities (such as GitHub repositories) as a mirror for the or a specific subset of the Cell Nuclei dataset (from the 2018 Data Science Bowl) used to evaluate the UNet++ model. Key Details of the Paper The link you provided is associated with a

: Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, and Jianming Liang.

: Published in Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support (DLMIA), a workshop held in conjunction with MICCAI 2018. Why the Link is Likely Dead

The "proper paper" related to that file is by Zhou et al. (2018).