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TCIA: A Transformer-CNN Model with Illumination Adaptation for Enhancing Cell Image Saliency and Contrast
Journal article
Yang, Jietao, Huang, Guoheng, Luo, Yanzhang, Zhang, Xiaofeng, Yuan, Xiaochen, Chen, Xuhang, Pun, Chi Man, Cai, Mu Yan. TCIA: A Transformer-CNN Model with Illumination Adaptation for Enhancing Cell Image Saliency and Contrast[J]. IEEE Transactions on Instrumentation and Measurement, 2025.
Authors:
Yang, Jietao
;
Huang, Guoheng
;
Luo, Yanzhang
;
Zhang, Xiaofeng
;
Yuan, Xiaochen
; et al.
Favorite
|
TC[Scopus]:
0
IF:
5.6
/
5.6
|
Submit date:2025/01/22
cell detection
Cell image enhancement
illumination-adaptive
transformer-cnn
Computational ghost imaging with adaptive intensity illumination for scenes featuring specular surfaces
Journal article
Xiong, Jiahao, Zhang, Xuan, Fu, Ai, Liu, Hong-Chao. Computational ghost imaging with adaptive intensity illumination for scenes featuring specular surfaces[J]. Journal of Optics (United Kingdom), 2024, 26(4), 045702.
Authors:
Xiong, Jiahao
;
Zhang, Xuan
;
Fu, Ai
;
Liu, Hong-Chao
Favorite
|
TC[WOS]:
0
TC[Scopus]:
1
IF:
2.0
/
2.0
|
Submit date:2024/05/02
Adaptive Intensity Illumination
Encoded Imaging
Single-pixel Imaging
Specular Reflection Component
Self-adaptive nanoassembly enabling turn-on hypoxia illumination and periphery/center closed-loop tumor eradication
Journal article
Ziyue Wang, Shenwu Zhang, Zhiqiang Kong, Songhao Li, Jin Sun, Ying Zheng, Zhonggui He, Hao Ye, Cong Luo. Self-adaptive nanoassembly enabling turn-on hypoxia illumination and periphery/center closed-loop tumor eradication[J]. Cell Reports Medicine, 2023, 4(4), 101014.
Authors:
Ziyue Wang
;
Shenwu Zhang
;
Zhiqiang Kong
;
Songhao Li
;
Jin Sun
; et al.
Favorite
|
TC[WOS]:
18
TC[Scopus]:
19
IF:
11.7
/
0
|
Submit date:2023/05/02
Ferroptosis
Nadph Depletion
Periphery/center Tumor Eradication
Self-adaptive Nanoassembly
Turn-on Hypoxia Illumination
Face recognition under varying illumination using adaptive filtering
Conference paper
Jiang L., Fang B., Zhang T.-P., Tang Y.-Y., Li D.-H.. Face recognition under varying illumination using adaptive filtering[C], 2009, 38-42.
Authors:
Jiang L.
;
Fang B.
;
Zhang T.-P.
;
Tang Y.-Y.
;
Li D.-H.
Favorite
|
TC[WOS]:
3
TC[Scopus]:
5
|
Submit date:2019/02/11
Adaptive Filtering
Face Recognition
Illumination Invariant