113 citations · 123 across the 22 of their papers we have counts for
5 papers · 1 filter
DLiPath: A Benchmark for the Comprehensive Assessment of Donor Liver Based on Histopathological Image Dataset
Liangrui Pan, Xingchen Li, Zhongyi Chen +2
Pathologists comprehensive evaluation of donor liver biopsies provides crucial information for accepting or discarding potential grafts. However, rapidly and accurately obtaining t…
Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer
Liangrui Pan, Qingchun Liang, Wenwu Zeng +6
Spread through air spaces (STAS) is a distinct invasion pattern in lung cancer, crucial for prognosis assessment and guiding surgical decisions. Histopathology is the gold standard…
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…
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…
FEDI: Few-shot learning based on Earth Mover's Distance algorithm combined with deep residual network to identify diabetic retinopathy
Liangrui Pan, Boya Ji, Peng Xi +3
Diabetic retinopathy(DR) is the main cause of blindness in diabetic patients. However, DR can easily delay the occurrence of blindness through the diagnosis of the fundus. In view…