3D ResNet
PulseAugur coverage of 3D ResNet — every cluster mentioning 3D ResNet across labs, papers, and developer communities, ranked by signal.
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New STORK model automates uterine contraction detection in fetal MRI
Researchers have developed STORK, a novel multi-instance learning model designed to detect uterine contractions in fetal MRI scans. This model utilizes a weakly-supervised approach, trained on series-level labels rather…
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Deep learning model detects multiple perceptual bugs in video games
Researchers have developed a deep learning model called ResNet-BiLSTM for detecting multiple perceptual bugs in video games from gameplay footage. This model achieved an F1 score of 85.78% on a benchmark dataset, outper…
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Deep learning model WIPSNet improves pediatric wheeze detection
Researchers have developed WIPSNet, a novel deep learning model for detecting wheezing in children using overnight impedance pneumography. This 3D ResNet architecture, which processes continuous wavelet transform scalog…
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AI model reduces need for spine degeneration grading labels via segmentation pre-training
Researchers have developed a new method for grading lumbar spine degeneration using segmentation pre-training, which significantly reduces the need for expert-annotated radiological gradings. By pre-training a 3D ResNet…
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New Few-Shot Learning Method Enhances Prostate MRI Quality Assessment
Researchers have developed a novel few-shot learning approach for assessing the quality of biparametric MRI scans, specifically focusing on prostate imaging. Their method utilizes a dual-branch 3D ResNet to fuse T2-weig…
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AI model spontaneously generates primate visual cortex direction maps
Researchers have developed a spatiotemporal Topographic Deep Artificial Neural Network (TDANN) to understand the organization of the primate visual cortex's dorsal stream. By training a 3D ResNet on natural videos using…