Our study aims to propose a pure transformer-based end-to-end object detection network based on DETR and apply it to a practical medical scenario of leukocyte ...

The model, based on the DETR architecture, integrates pyramid vision transformers and deformable attention modules, achieving superior mean average precision ...

Aug 17, 2023 · A method based on Fourier ptychographic microscopy (FPM) and deep learning to detect peripheral blood leukocytes is proposed in this paper.

Deep learning detection network for peripheral blood leukocytes based on improved detection transformer. https://doi.org/10.1016/j.bspc.2022.104518 ·.

Aug 17, 2023 · Then, an improved DETR (detection transformer) algorithm is proposed to improve the detection accuracy of small white blood cell targets; that ...

Aug 11, 2023 · Then, an improved DETR (detection transformer) algorithm is proposed to improve the detection accuracy of small white blood cell targets; that ...

Then, an improved DETR (detection transformer) algorithm is proposed to improve the detection accuracy of small white blood cell targets; that is, the residual ...

Jul 24, 2023 · This study presents a cutting-edge deep learning model for the accurate identification and classification of various subtypes of WBCs using the ViT model.

This paper proposes an innovative method of leukocyte detection: the Multi-level Feature Fusion and Deformable Self-attention DETR (MFDS-DETR).

Aug 2, 2024 · Our objective is to develop a precise automated model for detecting various blood cell types, leveraging a novel deep learning architecture.