协迫 发表于 2025-3-23 12:50:42
http://reply.papertrans.cn/63/6293/629211/629211_11.png一大块 发表于 2025-3-23 15:52:02
http://reply.papertrans.cn/63/6293/629211/629211_12.pnginstill 发表于 2025-3-23 20:56:42
http://reply.papertrans.cn/63/6293/629211/629211_13.pngCampaign 发表于 2025-3-23 23:19:14
http://reply.papertrans.cn/63/6293/629211/629211_14.png老人病学 发表于 2025-3-24 04:30:40
Uni4Eye: Unified 2D and 3D Self-supervised Pre-training via Masked Image Modeling Transformer for Opision Transformer (ViT) architecture. We employ a Unified Patch Embedding module to replace the origin patch embedding module in ViT for jointly processing both 2D and 3D input images. Besides, we design a dual-branch multitask decoder module to simultaneously perform two reconstruction tasks on theORE 发表于 2025-3-24 08:29:26
http://reply.papertrans.cn/63/6293/629211/629211_16.pngCloudburst 发表于 2025-3-24 14:43:40
Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentationre weighted form and 2) label position distribution for constructing a cropping probability mask to crop more sub-volumes in cartilage areas from both labeled and unlabeled inputs. In addition, we design dual uncertainty-aware sampling supervision to enhance the supervision of low-confident categori傀儡 发表于 2025-3-24 16:30:34
Semi-supervised Medical Image Classification with Temporal Knowledge-Aware Regularizationoss of unlabeled samples according to the temporal information across training iterations, to adaptively relax pseudo labels. To release the excessive dependency of biased pseudo labels, we take advantage of the temporal knowledge and propose Iterative Prototype Harmonizing (IPH) to encourage the mo虚构的东西 发表于 2025-3-24 19:53:05
http://reply.papertrans.cn/63/6293/629211/629211_19.png直觉没有 发表于 2025-3-24 23:10:26
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