Search Results for author: Fengqian Pang

Found 2 papers, 1 papers with code

Positive-unlabeled learning for binary and multi-class cell detection in histopathology images with incomplete annotations

1 code implementation16 Feb 2023 Zipei Zhao, Fengqian Pang, Yaou Liu, Zhiwen Liu, Chuyang Ye

Typically, to train CNN-based cell detection models, every positive instance in the training images needs to be annotated, and instances that are not labeled as positive are considered negative samples.

Cell Detection

Positive-unlabeled Learning for Cell Detection in Histopathology Images with Incomplete Annotations

no code implementations30 Jun 2021 Zipei Zhao, Fengqian Pang, Zhiwen Liu, Chuyang Ye

Usually, incomplete annotations can be achieved, where positive labeling results are carefully examined to ensure their reliability but there can be other positive instances, i. e., cells of interest, that are not included in the annotations.

Cell Detection Mitosis Detection

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