Search Results for author: Jialin Peng

Found 5 papers, 1 papers with code

WDA-Net: Weakly-Supervised Domain Adaptive Segmentation of Electron Microscopy

1 code implementation24 Oct 2022 Dafei Qiu, Jiajin Yi, Jialin Peng

Aiming to develop a highly annotation-efficient approach with competitive performance, we focus on weakly-supervised domain adaptation (WDA) with a type of extremely sparse and weak annotation demanding minimal annotation efforts, i. e., sparse point annotations on only a small subset of object instances.

Domain Adaptation Segmentation

Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models

no code implementations28 Feb 2021 Jialin Peng, Ye Wang

Despite the remarkable performance of deep learning methods on various tasks, most cutting-edge models rely heavily on large-scale annotated training examples, which are often unavailable for clinical and health care tasks.

Image Segmentation Medical Image Segmentation +2

EM-NET: Centerline-Aware Mitochondria Segmentation in EM Images via Hierarchical View-Ensemble Convolutional Network

no code implementations30 Nov 2019 Zhimin Yuan, Jiajin Yi, Zhengrong Luo, Zhongdao Jia, Jialin Peng

To address these problems, we introduce a multi-task network named EM-Net, which includes an auxiliary centerline detection task to account for shape information of mitochondria represented by centerline.

Segmentation

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