Self-supervised clustering analysis of colorectal cancer biomarkers based on multi-scale whole slides image and mass spectrometry imaging fused images-Reference-Cited by-同舟云学术

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Self-supervised clustering analysis of colorectal cancer biomarkers based on multi-scale whole slides image and mass spectrometry imaging fused images

Published:2023-10 Issue: Volume:263 Page:124727
ISSN:0039-9140
Container-title:Talanta
language:en
Short-container-title:Talanta

Author:

Li Zhen,Sun Yusong,An Feng^ORCID,Chen Hongyang^ORCID,Liao Jun^ORCID

Publisher

Elsevier BV

Subject

Analytical Chemistry

Reference37 articles.

1. Whole slide imaging and colorectal carcinoma: a validation study for tumor budding and stromal differentiation;Hacking;Pathol. Res. Pract.,2020

2. Digital pathology and artificial intelligence;Niazi;Lancet Oncol.,2019

3. Diagnostic assessment of deep learning for melanocytic lesions using whole-slide pathological images;Ba;Translational Oncology,2021

4. DeepBatch: a hybrid deep learning model for interpretable diagnosis of breast cancer in whole-slide images;Zeiser;Expert Syst. Appl.,2021

5. Molecular imaging of biological samples: localization of peptides and proteins using MALDI-TOF MS;Caprioli;Anal. Chem.,1997

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