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Articles by Weiting Wu
LDTC-YOLO: A Lightweight Detection Model for Typical Citrus Leaf and Fruit Diseases in Real Orchard Environments
You are already at the latest version Accurate detection of citrus leaf and fruit diseases is important for precision orchard management. However, real orchard images often contain small disease symptoms, leaf and fruit overlap, illumination variation, and cluttered backgrounds, making reliable detection challenging. This study proposes LDTC-YOLO, a lightweight YOLOv8n-based detection model for typical citrus leaf and fruit diseases in real orchard environments.
A domain-adaptive deep contrastive network for magnetic resonance imaging-driven bladder cancer classification - npj Digital Medicine
Abstract Bladder cancer is one of the most prevalent malignancies of the urinary system and is associated with high morbidity and mortality. With advances in medical image analysis, deep learning has shown promise for automated bladder cancer classification using magnetic resonance imaging (MRI).
What Have We Learned From the Still-Unfolding #MeToo Movement in Taiwan??
by Weiting Wu 語言: EnglishPhoto Credit: Still from Wave Makers The following piece is part of a special issue on #MeToo co-edited by New Bloom and Taiwan Insight! Keep an eye out for more articles! ON MAY 31ST, a Facebook post by a former Democratic Progressive Party (DPP) staffer ignited the long-smouldering embers of Taiwan’s #MeToo movement, illuminating local issues of sexual harassment and assault originally left behind by the 2017-2018 global #MeToo movement.
What Have We Learned From the Still-Unfolding #MeToo Movement in Taiwan?
by Weiting Wu 語言: EnglishPhoto Credit: Still from Wave Makers The following piece is part of a special issue on #MeToo co-edited by New Bloom and Taiwan Insight! Keep an eye out for more articles! ON MAY 31ST, a Facebook post by a former Democratic Progressive Party (DPP) staffer ignited the long-smouldering embers of Taiwan’s #MeToo movement, illuminating local issues of sexual harassment and assault originally left behind by the 2017-2018 global #MeToo movement.
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