A hybrid ViT-L/32–MaxViT-L architecture with adaptive gated fusion for multiclass gastrointestinal disease detection and multi-method post-hoc explainability

IntroductionAccurate detection of gastrointestinal diseases from endoscopic images remains challenging due to substantial inter-class similarity, intra-class variability, and heterogeneous lesion presentation. While convolutional neural networks (CNNs) effectively capture fine mucosal textures, thei...

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التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Zhongming Zhao
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	Frontiers Media S.A. 2026-07-01
سلاسل:	Frontiers in Endocrinology
الموضوعات:	adaptive gated fusion endoscopic image classification explainable AI gastrointestinal disease detection hybrid transformer architecture vision transformer
الوصول للمادة أونلاين:	https://www.frontiersin.org/articles/10.3389/fendo.2026.1869015/full
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!