AIpollen: An Analytic Website for Pollen Identification Through Convolutional Neural Networks by Xingchen Yu, Jiawen Zhao, Zhenxiu Xu, Junrong Wei, Qi Wang, Feng Shen, Xiaozeng Yang, Zhonglong Guo

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Skin-lesion segmentation using boundary-aware segmentation network and classification based on a mixture of convolutional and transformer neural networks by Javaria Amin, Marium Azhar, Habiba Arshad, Amad Zafar, Seong-Han Kim

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Compare three deep learning-based artificial intelligence models for classification of calcified lumbar disc herniation: a multicenter diagnostic study by Zhiming Liu, Hao Zhang, Min Zhang, Changpeng Qu, Lei Li, Yihao Sun, Xuexiao Ma

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A comparative analysis of deep learning models for assisting in the diagnosis of periapical lesions in periapical radiographs by Jian Liu, Chaoran Jin, Xiaolan Wang, Kexu Pan, Zhuoyang Li, Xinxuan Yi, Yu Shao, Xiaodong Sun, Xijiao Yu

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Advancing prenatal healthcare by explainable AI enhanced fetal ultrasound image segmentation using U-Net++ with attention mechanisms by Retinderdeep Singh, Sheifali Gupta, Heba G. Mohamed, Salil Bharany, Ateeq Ur Rehman, Yazeed Yasin Ghadi, Seada Hussen

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Artificial intelligence-driven classification method of grapevine major phenological stages using conventional RGB imaging by Ruben Íñiguez, Fikile Wolela, María Ignacia Gonzalez Pavez, Ignacio Barrio, Javier Tardáguila, Talitha Venter, Carlos Poblete-Echeverria

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Detecting AI-Generated Images Using a Hybrid ResNet-SE Attention Model by Abhilash Reddy Gunukula, Himel Das Gupta, Victor S. Sheng

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Deep learning-based detection and classification of acute lymphoblastic leukemia with explainable AI techniques by Debendra Muduli, Sourav Parija, Suhani Kumari, Asmaul Hassan, Harendra S. Jangwan, Abu Taha Zamani, Sk. Mohammed Gouse, Banshidhar Majhi, Nikhat Parveen

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