Search Results for author: Shixiang Feng

Found 4 papers, 0 papers with code

MS-KD: Multi-Organ Segmentation with Multiple Binary-Labeled Datasets

no code implementations5 Aug 2021 Shixiang Feng, YuHang Zhou, Xiaoman Zhang, Ya zhang, Yanfeng Wang

A novel Multi-teacher Single-student Knowledge Distillation (MS-KD) framework is proposed, where the teacher models are pre-trained single-organ segmentation networks, and the student model is a multi-organ segmentation network.

Knowledge Distillation

Uncertainty-aware Incremental Learning for Multi-organ Segmentation

no code implementations9 Mar 2021 YuHang Zhou, Xiaoman Zhang, Shixiang Feng, Ya zhang, Yanfeng

Specifically, given a pretrained $K$ organ segmentation model and a new single-organ dataset, we train a unified $K+1$ organ segmentation model without accessing any data belonging to the previous training stages.

Incremental Learning Transfer Learning

SAR: Scale-Aware Restoration Learning for 3D Tumor Segmentation

no code implementations13 Oct 2020 Xiaoman Zhang, Shixiang Feng, YuHang Zhou, Ya zhang, Yanfeng Wang

We demonstrate the effectiveness of our methods on two downstream tasks: i) Brain tumor segmentation, ii) Pancreas tumor segmentation.

Brain Tumor Segmentation Self-Supervised Learning +2

Two-Stream Compare and Contrast Network for Vertebral Compression Fracture Diagnosis

no code implementations13 Oct 2020 Shixiang Feng, Beibei Liu, Ya zhang, Xiaoyun Zhang, Yuehua Li

In this paper, we explore to model VCFs diagnosis as a three-class classification problem, i. e. normal vertebrae, benign VCFs, and malignant VCFs.

Classification General Classification

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