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08/17/2023
MixBag: Bag-Level Data Augmentation for Learning from Label Proportions
Learning from label proportions (LLP) is a promising weakly supervised l...
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07/09/2023
Mitosis Detection from Partial Annotation by Dataset Generation via Frame-Order Flipping
Detection of mitosis events plays an important role in biomedical resear...
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04/26/2023
Cluster Entropy: Active Domain Adaptation in Pathological Image Segmentation
The domain shift in pathological segmentation is an important problem, w...
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04/26/2023
Mixing Data Augmentation with Preserving Foreground Regions in Medical Image Segmentation
The development of medical image segmentation using deep learning can si...
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03/09/2023
Effective Pseudo-Labeling based on Heatmap for Unsupervised Domain Adaptation in Cell Detection
Cell detection is an important task in biomedical research. Recently, de...
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03/02/2023
Cluster-Guided Semi-Supervised Domain Adaptation for Imbalanced Medical Image Classification
Semi-supervised domain adaptation is a technique to build a classifier f...
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02/17/2023
Learning from Label Proportion with Online Pseudo-Label Decision by Regret Minimization
This paper proposes a novel and efficient method for Learning from Label...
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08/05/2022
Deep Bayesian Active-Learning-to-Rank for Endoscopic Image Data
Automatic image-based disease severity estimation generally uses discret...
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11/06/2021
Order-Guided Disentangled Representation Learning for Ulcerative Colitis Classification with Limited Labels
Ulcerative colitis (UC) classification, which is an important task for e...
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08/19/2021
Patch-Based Cervical Cancer Segmentation using Distance from Boundary of Tissue
Pathological diagnosis is used for examining cancer in detail, and its a...
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07/20/2021
Cell Detection from Imperfect Annotation by Pseudo Label Selection Using P-classification
Cell detection is an essential task in cell image analysis. Recent deep ...
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07/19/2021
Cell Detection in Domain Shift Problem Using Pseudo-Cell-Position Heatmap
The domain shift problem is an important issue in automatic cell detecti...
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07/19/2021
Semi-supervised Cell Detection in Time-lapse Images Using Temporal Consistency
Cell detection is the task of detecting the approximate positions of cel...
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07/30/2020
Weakly-Supervised Cell Tracking via Backward-and-Forward Propagation
We propose a weakly-supervised cell tracking method that can train a con...
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07/16/2020
Negative Pseudo Labeling using Class Proportion for Semantic Segmentation in Pathology
We propose a weakly-supervised cell tracking method that can train a con...
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04/27/2020
Spatial-Temporal Mitosis Detection in Phase-Contrast Microscopy via Likelihood Map Estimation by 3DCNN
Automated mitotic detection in time-lapse phasecontrast microscopy provi...
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02/25/2020
MPM: Joint Representation of Motion and Position Map for Cell Tracking
Conventional cell tracking methods detect multiple cellsin each frame (d...
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11/29/2019
Weakly Supervised Cell Instance Segmentation by Propagating from Detection Response
Cell shape analysis is important in biomedical research. Deep learning m...
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04/12/2019
Adaptive Weighting Multi-Field-of-View CNN for Semantic Segmentation in Pathology
Automated digital histopathology image segmentation is an important task...
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09/22/2017
