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researcher

Xiangchen Wu

2 papers here

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author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • eess.IV1

identity via Semantic Scholar / OpenAlex

collaborators

2 papers

cs.CV2021

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 visual transformers

Wanli Liu, Chen Li, Md Mamunur Rahamana +8

Cervical cancer is a very common and fatal type of cancer in women. Cytopathology images are often used to screen for this cancer. Given that there is a possibility that many error…

eess.IV2021

DeepCervix: A Deep Learning-based Framework for the Classification of Cervical Cells Using Hybrid Deep Feature Fusion Techniques

Md Mamunur Rahaman, Chen Li, Yudong Yao +4

Cervical cancer, one of the most common fatal cancers among women, can be prevented by regular screening to detect any precancerous lesions at early stages and treat them. Pap smea…

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