GNAT
发表于 2025-3-28 18:09:06
Eugenia Siapera,Mariangela Veikoularities of images between different classes. Experiments with HiCo on five datasets demonstrate its favorable results over state-of-the-art approaches. The source code of this work is publicly available at ..
胰岛素
发表于 2025-3-28 19:17:25
Eugenia Siapera,Mariangela Veikouion features in the 2D projection process, thereby obtaining more precise multi-scale information, which is vital for small lesion segmentation. Quantitative and qualitative experimental results on two public datasets (BTCV and MSD) demonstrate that our proposed APAUNet outperforms the other methods
harrow
发表于 2025-3-28 23:20:25
http://reply.papertrans.cn/24/2342/234136/234136_43.png
COUCH
发表于 2025-3-29 03:36:25
http://reply.papertrans.cn/24/2342/234136/234136_44.png
myopia
发表于 2025-3-29 10:51:07
http://reply.papertrans.cn/24/2342/234136/234136_45.png
DECRY
发表于 2025-3-29 14:47:07
http://reply.papertrans.cn/24/2342/234136/234136_46.png
珐琅
发表于 2025-3-29 15:41:12
The Digital Turn in Higher Educationancer show that the proposed PathTR achieves the Free-response Receiver Operating Characteristic Curves (FROC) score of 87.68%, which outperforms the baseline and NCRF method with +8.99% and +7.08%, respectively. Our method also achieves a significant 94.25% sensitivity at 8 false positives per imag
BIPED
发表于 2025-3-29 20:06:37
The Digital Turn in Higher Educationthods in robust multimodal segmentation, achieving an average Dice of 84.15., 75.59., and 54.90. for the three types of brain tumor regions, respectively, and 48.29. for stroke lesions. Our method can improve the clinical workflow that requires multimodal images.
不能强迫我
发表于 2025-3-30 02:20:51
http://reply.papertrans.cn/24/2342/234136/234136_49.png
Suggestions
发表于 2025-3-30 05:00:53
TriMix: A General Framework for Medical Image Segmentation from Limited Supervision