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CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer.

, , , and . CoRR, (2023)

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BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection., , , and . CoRR, (2023)Toward more accurate diagnosis of multiple sclerosis: Automated lesion segmentation in brain magnetic resonance image using modified U-Net model., , , and . Int. J. Imaging Syst. Technol., (January 2024)Convolutional neural network improvement for breast cancer classification., , and . Expert Syst. Appl., (2019)ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation., , , and . CoRR, (2023)CAFCT: Contextual and Attentional Feature Fusions of Convolutional Neural Networks and Transformer for Liver Tumor Segmentation., , , and . CoRR, (2024)Case-control comparison brain lesion segmentation for early infarct detection., , and . Comput. Medical Imaging Graph., (2018)CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer., , , and . CoRR, (2023)RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection., , , and . MICCAI (4), volume 14223 of Lecture Notes in Computer Science, page 600-610. Springer, (2023)Well-Being of Hong Kong DSE Students in the Post-COVID-19 Age: Opportunities and Challenges for Mental Health Education and Promotion., , , and . WIS, volume 1626 of Communications in Computer and Information Science, page 3-22. Springer, (2022)An O(nlogn)-time algorithm for the maximum constrained agreement subtree problem for binary trees., and . Inf. Process. Lett., 100 (4): 137-144 (2006)