MOTDNet: Multi organ task decoupling network for cell segmentation

Jinlin Yang

doi:10.1016/j.media.2026.104045

2026-03-18

PRE

DOI：10.1016/j.media.2026.104045

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摘要

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一种新型多器官异构任务解耦细胞分割网络（MOTDNet）。• 针对不同任务设计了多任务特定卷积和译码器。• MOTDNet优于现有方法，在PanNuke数据集上实现了mPQ、bPQ和F-1分数分别为0.4999、0.6804，具有3200万参数和18 GFLOPs的计算量，展示了当前最佳性能。• MOTDNet在MoNuSeg、NYU-V2和Cityscapes数据集上表现出优异的泛化能力。

Keyword:

cell segmentation

multi-organ

task decoupling

deep learning

image analysis

期刊

Medical Image Analysis

IF:

11.8

论文数:

3.9K

被引数:

2.4W

机构

applied sciences

学者数:

171

论文数: 98

被引数: 0

School of Automation

学者数:

741

论文数: 290

被引数: 0

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