Paper Search Results

authorId(s): 2118133454
Author(s): Changhao Sun

score	citationCount	Paper	Authors	year	More like this	Compare & Contrast	ProNE-s	SciNCL	Specter	GNN
	157	LCU-Net: A novel low-cost U-Net for environmental microorganism image segmentation	Jinghua Zhang, Chen Li, ..., Hong Li	2021	Similar to this	Compare & Contrast
	139	GasHis-Transformer: A multi-scale visual transformer approach for gastric histopathological image detection	Hao Chen, Chen Li, ..., M. Grzegorzek	2021	Similar to this	Compare & Contrast
	123	A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks	Xiaomin Zhou, Chen Li, ..., Yueyang Teng	2020	Similar to this	Compare & Contrast
	99	CVM-Cervix: A Hybrid Cervical Pap-Smear Image Classification Framework Using CNN, Visual Transformer and Multilayer Perceptron	Wanli Liu, Chen Li, ..., M. Grzegorzek	2022	Similar to this	Compare & Contrast
	83	IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach	Hao Chen, Chen Li, ..., M. Grzegorzek	2022	Similar to this	Compare & Contrast
	56	GasHisSDB: A new gastric histopathology image dataset for computer aided diagnosis of gastric cancer	Weiming Hu, Chen Li, ..., M. Grzegorzek	2021	Similar to this	Compare & Contrast
	48	Is the aspect ratio of cells important in deep learning? A robust comparison of deep learning methods for multi-scale cytopathology cell image classification: From convolutional neural networks to vis...	Wanli Liu, Chen Li, ..., M. Grzegorzek	2021	Similar to this	Compare & Contrast
	46	A Comprehensive Review of Markov Random Field and Conditional Random Field Approaches in Pathology Image Analysis	Yixin Li, Chen Li, ..., Qian Wang	2020	Similar to this	Compare & Contrast
	41	Gastric histopathology image segmentation using a hierarchical conditional random field	Changhao Sun, Chen Li, Xiaoyan Li	2020	Similar to this	Compare & Contrast
	34	A State-of-the-Art Review for Gastric Histopathology Image Analysis Approaches and Future Development	Shiliang Ai, Chen Li, ..., Hong Li	2021	Similar to this	Compare & Contrast

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