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Cattle lameness detection using depth image and deep learning

Abstract Lameness in cattle is a significant welfare and economic concern. To address this, we developed an end-to-end deep learning framework for 24/7 lameness monitoring using top-down depth images of cattle. The framework integrates three key stages: instance segmentation for detection, a custom...

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Bibliographic Details
Main Authors: San Chain Tun, Pyke Tin, Masaru Aikawa, Ikuo Kobayashi, Thi Thi Zin
Format: Artigo
Language:Inglês
Published: Nature Portfolio 2026-03-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-026-40780-4
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