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1910.02923
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A Survey on Active Learning and Human-in-the-Loop Deep Learning for Medical Image Analysis
7 October 2019
Samuel Budd
E. C. Robinson
Bernhard Kainz
LM&MA
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Papers citing
"A Survey on Active Learning and Human-in-the-Loop Deep Learning for Medical Image Analysis"
50 / 131 papers shown
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Active Learning Framework for Cost-Effective TCR-Epitope Binding Affinity Prediction
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Empowering Precision Medicine: AI-Driven Schizophrenia Diagnosis via EEG Signals: A Comprehensive Review from 2002-2023
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Augmenting Chest X-ray Datasets with Non-Expert Annotations
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138
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Hybrid Representation-Enhanced Sampling for Bayesian Active Learning in Musculoskeletal Segmentation of Lower Extremities
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Yoshito Otake
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414
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168
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209
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Xiang Li
Lu Zhang
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206
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Data Efficient Contrastive Learning in Histopathology using Active Sampling
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275
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Active Learning in Brain Tumor Segmentation with Uncertainty Sampling, Annotation Redundancy Restriction, and Data Initialization
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146
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Active learning for medical image segmentation with stochastic batches
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210
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TAAL: Test-time Augmentation for Active Learning in Medical Image Segmentation
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206
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Scalable Batch Acquisition for Deep Bayesian Active Learning
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Aleksandr Rubashevskii
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239
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Approaching Peak Ground Truth
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Florian Kofler
J. Wahle
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Rami Al-Maskari
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214
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Few-shot Medical Image Segmentation with Cycle-resemblance Attention
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