Next-generation U-Net Encoder: Decoder for accurate, ... cells were isolated from the samples after RBC lysis and centrifugation and stained with EPCAM and DAPI and set on imaging slides. 60X images ...

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Abstract: In recent years, extensive research has been conducted on visible and infrared image fusion (VIF) task using traditional multi-scale transform-based and deep learning model-based methods.

This paper proposes a new encoder-decoder frame-work based on Convolutional Neural Networks (CNN) for feature extraction and Long Short-Term Memory (LSTM) networks for image caption generation. Image ...

Based on the passive imaging technology of cryogenic infrared detectors, this paper proposes a deep learning-based gas semantic segmentation method based on the YOLOv11 model. Firstly, MobileNetV4 is ...