most citedA review of machine learning approaches, challenges and prospects for computational tumor pathology

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eess.IV2022★ 4 cited

A review of machine learning approaches, challenges and prospects for computational tumor pathology

Liangrui Pan, Zhichao Feng, Shaoliang Peng

Computational pathology is part of precision oncology medicine. The integration of high-throughput data including genomics, transcriptomics, proteomics, metabolomics, pathomics, an…

eess.IV2022

Noise-reducing attention cross fusion learning transformer for histological image classification of osteosarcoma

Liangrui Pan, Hetian Wang, Lian Wang +5

The degree of malignancy of osteosarcoma and its tendency to metastasize/spread mainly depend on the pathological grade (determined by observing the morphology of the tumor under a…