Exploring prognostic indicators in the pathological images of ...

Exploring prognostic indicators in the pathological images ... - PubMed

Our deep learning framework is an effective and labour-saving method for decoding pathological images, providing a valuable means for HCC ...

Exploring prognostic indicators in the pathological images of ovarian ...

Background: Tumor pathology can assess patient prognosis based on a morphological deviation of tumor tissue from normal.

Exploring prognostic indicators in the pathological images of ovarian ...

We aim to explore new prognostic indicators of ovarian cancer (OC) patients using the DL framework on WSIs, and provide a valuable approach for OC risk ...

Exploring prognostic indicators in the pathological images of ... - Gut

Request permissions. If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center's ...

Exploring prognostic indicators in the pathological images of ...

Tumour pathology contains rich information, including tissue structure and cell morphology, that reflects disease progression and patient survival. However, ...

Exploring prognostic indicators in the pathological images of ...

A interpretable, weakly supervised deep learning framework incorporating prior knowledge is proposed to analyse hepatocellular carcinoma (HCC) and explore ...

Exploring prognostic biomarkers in pathological images of colorectal ...

Our deep learning algorithm identified the CRCRS as a prognostic indicator in CRC, providing a significant approach for prognostic risk stratification.

Exploring prognostic indicators in the - ProQuest

Exploring prognostic indicators in the pathological images of hepatocellular carcinoma based on deep learning. Jie-Yi, Shi; Wang, Xiaodong; Guang-Yu Ding ...

Exploring prognostic indicators in pathological images of ... - GitHub

Exploring prognostic indicators in pathological images of hepatocellular carcinoma based on deep learning - wangxiaodong1021/HCC_Prognostic.

Exploring prognostic biomarkers in pathological images of colorectal ...

The overall survival analysis revealed that the CRCRS served as an independent prognostic indicator for both the PLCO cohort (p < 0.001) and the ...

Exploring prognostic indicators in the pathological images of ...

Request PDF | Exploring prognostic indicators in the pathological images of hepatocellular carcinoma based on deep learning | Objective: ...

Exploring prognostic indicators in the pathological images of ...

Tumour pathology contains rich information, including tissue structure and cell morphology, that reflects disease progression and patient survival.

Mining the interpretable prognostic features from pathological image ...

Exploring prognostic indicators in the pathological images of hepatocellular carcinoma based on deep learning. Gut. 2021;70(5):951–61 ...

Predicting overall survival in hepatocellular carcinoma patients via a ...

... images contribute to personalized prognostic ... Ding, et al. Exploring prognostic indicators in the pathological images of hepatocellular carcinoma based on deep ...

Pathomic and bioinformatics analysis of clinical-pathological and ...

Traditional prognostic indicators like tumor stage and invasion depth are insufficient for precision medicine's needs. Pancreatic cancer ...

Exploring pathological signatures for predicting the recurrence of ...

Common prognostic factors for predicting early-stage HCC recurrence include pathological features, clinical biomarkers and genetic signatures (8) ...

Comprehensive Computational Pathological Image Analysis ...

... pathological images predict prognosis in patients with lung cancer. Keywords ... Comprehensive Exploration of the Morphological Information in Pathological Images.

AI inspired discovery of new biomarkers for clinical prognosis of liver ...

Exploring prognostic indicators in the pathological images of hepatocellular carcinoma based on deep learning. Gut gutjnl-2020-320930 (2020) ...

Exploring prognostic indicators in the pathological images ... - 科研通

Exploring prognostic indicators in the pathological images of hepatocellular carcinoma based on deep learning. 基于深度学习的肝癌病理图像预后指标研究. 相关 ...

Construction of a combined prognostic model for pancreatic ductal ...

Exploring prognostic indicators in the pathological images of hepatocellular carcinoma based on deep learning. Gut. 2021;70(5):951–61. Huang ...