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09/08/2023
AMLP:Adaptive Masking Lesion Patches for Self-supervised Medical Image Segmentation
Self-supervised masked image modeling has shown promising results on nat...
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04/15/2023
MvCo-DoT:Multi-View Contrastive Domain Transfer Network for Medical Report Generation
In clinical scenarios, multiple medical images with different views are ...
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02/27/2023
MPS-AMS: Masked Patches Selection and Adaptive Masking Strategy Based Self-Supervised Medical Image Segmentation
Existing self-supervised learning methods based on contrastive learning ...
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02/22/2023
Multi-Head Feature Pyramid Networks for Breast Mass Detection
Analysis of X-ray images is one of the main tools to diagnose breast can...
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07/24/2022
PCA: Semi-supervised Segmentation with Patch Confidence Adversarial Training
Deep learning based semi-supervised learning (SSL) methods have achieved...
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06/18/2021
RSG: A Simple but Effective Module for Learning Imbalanced Datasets
Imbalanced datasets widely exist in practice and area great challenge fo...
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11/16/2020
Reinforced Medical Report Generation with X-Linear Attention and Repetition Penalty
To reduce doctors' workload, deep-learning-based automatic medical repor...
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11/15/2020
SAG-GAN: Semi-Supervised Attention-Guided GANs for Data Augmentation on Medical Images
Recently deep learning methods, in particular, convolutional neural netw...
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11/02/2020
Deep Learning in Computer-Aided Diagnosis and Treatment of Tumors: A Survey
Computer-Aided Diagnosis and Treatment of Tumors is a hot topic of deep ...
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08/02/2020
Detecting Relevant Feature Interactions for Recommender Systems via Graph Neural Networks
Feature interactions are essential for achieving high accuracy in recomm...
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05/17/2019
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence
Learning agents that are not only capable of taking tests but also innov...
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05/12/2019
Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards
Intrinsic rewards are introduced to simulate how human intelligence work...
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04/30/2019
Segmentation is All You Need
We propose a new paradigm of the detection task that is anchor-box free ...
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01/06/2019
Bandwidth Reduction using Importance Weighted Pruning on Ring AllReduce
It is inevitable to train large deep learning models on a large-scale cl...
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11/10/2018
Diversity-Driven Extensible Hierarchical Reinforcement Learning
Hierarchical reinforcement learning (HRL) has recently shown promising a...
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08/12/2017