activity
20172023
most citedInter-slice Context Residual Learning for 3D Medical Image Segmentation

139 citations · 701 across the 36 of their papers we have counts for

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Showing 2018Show all

6 papers · 1 filter

cs.CV2018★ 6 cited

Residual Network based Aggregation Model for Skin Lesion Classification

Yongsheng Pan, Yong Xia

We recognize that the skin lesion diagnosis is an essential and challenging sub-task in Image classification, in which the Fisher vector (FV) encoding algorithm and deep convolutio…

cs.CV2018★ 3 cited

A Multi-Level Deep Ensemble Model for Skin Lesion Classification in Dermoscopy Images

Yutong Xie, Jianpeng Zhang, Yong Xia

A multi-level deep ensemble (MLDE) model that can be trained in an 'end to end' manner is proposed for skin lesion classification in dermoscopy images. In this model, four pre-trai…

cs.CV2018★ 9 cited

3D Global Convolutional Adversarial Network\\ for Prostate MR Volume Segmentation

Haozhe Jia, Yang Song, Donghao Zhang +5

Advanced deep learning methods have been developed to conduct prostate MR volume segmentation in either a 2D or 3D fully convolutional manner. However, 2D methods tend to have limi…

cs.CV2018★ 102 cited

ChestNet: A Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography

Hongyu Wang, Yong Xia

Computer-aided techniques may lead to more accurate and more acces-sible diagnosis of thorax diseases on chest radiography. Despite the success of deep learning-based solutions, th…

cs.CV2018★ 3 cited

A Pulmonary Nodule Detection Model Based on Progressive Resolution and Hierarchical Saliency

Junjie Zhang, Yong Xia, Yanning Zhang

Detection of pulmonary nodules on chest CT is an essential step in the early diagnosis of lung cancer, which is critical for best patient care. Although a number of computer-aided…

cs.CV2018★ 10 cited

Autonomous Deep Learning: A Genetic DCNN Designer for Image Classification

Benteng Ma, Yong Xia

Recent years have witnessed the breakthrough success of deep convolutional neural networks (DCNNs) in image classification and other vision applications. Although freeing users fro…