Jul 25, 2022 � In this article, in order to efficiently locate coarse and fine regions and fully learn features of them, we present a “coarse and fine feature�...
Aug 8, 2022 � To validate the generalizability of the proposed network, experiments are conducted on two face datasets, and it also achieves excellent.
王晓华,wxh,合肥工业大学主页平台管理系统, "CFJLNet: Coarse and Fine Feature Joint Learning Network for Bone Age Assessment王晓华,
Jan 3, 2024 � Ren, CFJLNet: Coarse and fine feature joint learning network for bone age assessment, IEEE Trans. Instrum. Measure., 71 (2022), 1–11. https�...
Jun 12, 2024 � ... CFJLNet: Coarse and fine feature joint. learning network for bone age assessment, IEEE Trans. Instrum. Measure.,71 (2022), 1–11. https://doi�...
Nov 27, 2018 � CFJLNet: Coarse and Fine Feature Joint Learning Network for Bone Age Assessment. XiaohuaWang, WeiFan, MinHu, YuhangWang, FujiRen. 2022Jan1�...
Region fine-grained attention network for accurate bone age assessment ... Ren, CFJLNet: Coarse and fine feature joint learning network for bone age assessment, <�...
In this article, an automatic bone age assessment method based on CNN and graph convolutional network (GCN) is proposed. The overall method uses CNN for feature�...
Ren, CFJLNet: Coarse and fine feature joint learning network for bone age assessment, IEEE Trans. Instrum. Measure., 71 (2022), 1–11. https://doi.org�...
We sought to efficiently deliver information between multi-granularity regions for fine-grained feature learning and to directly model long-distance�...
Missing: CFJLNet: Joint