white-matter
发表于 2025-3-30 09:02:23
,Transformer Based Prototype Learning for Weakly-Supervised Histopathology Tissue Semantic Segmentatto obtain more complete localization maps. Additionally, we introduce a self-refinement mechanism to dampen the falsely activated regions in the initial localization map. Extensive experiments on two histopathology datasets demonstrate that our proposed model achieves the state-of-the-art performanc
archetype
发表于 2025-3-30 15:34:36
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Density
发表于 2025-3-30 19:06:39
,A Graph Convolutional Siamese Network for the Assessment and Recognition of Physical Rehabilitation model reaches state-of-the-art performance on action classification and outperforms the Dynamic Time Warping algorithm and hidden Markov model method by a large margin in terms of assessment accuracy.
SOBER
发表于 2025-3-30 23:18:52
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HOWL
发表于 2025-3-31 04:39:18
Lazaros Iliadis,Antonios Papaleonidas,Chrisina Jay
放肆的我
发表于 2025-3-31 07:06:38
https://doi.org/10.1007/978-3-7091-9977-0 of min-, max-, and average-pooling of the features, and 2) a self-attention mechanism. We evaluate the proposed method on multiple neural network architectures in a five-fold leave-patient-out cross-validation scheme and also against human experts on a withheld data set. We find that classification
dialect
发表于 2025-3-31 10:30:46
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Modify
发表于 2025-3-31 14:56:39
Hartmut Bossel,Walter Heil,Alfred Puck87.20%, 83.12%, 0.85 and 0.85 respectively, which has achieved the best effect compared with other classification methods. Furthermore, visualization technique Grad-CAM++ is used to provide interpretability for the validity of our model.
Expurgate
发表于 2025-3-31 17:31:25
Zufallsschwingungen linearer Systeme,e dilated convolutions. In order to improve the ability to learn the precise boundary of the objects, a gated boundary-aware branch is introduced and utilized to concentrate on the object border region. The effectiveness and robustness of the network are confirmed by evaluating this method on the AC
粘土
发表于 2025-3-31 23:28:30
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