Exploring prognostic biomarkers in pathological images of colorectal ...

Hematoxylin and eosin (H&E) whole slide images provide valuable information for predicting prognostic outcomes in colorectal cancer (CRC) patients.

Hematoxylin and eosin (H&E) whole slide images provide valuable information for predicting prognostic outcomes in colorectal cancer (CRC) ...

Exploring prognostic biomarkers in pathological images of colorectal ...

We created the colorectal cancer risk score (CRCRS) to assess patient prognosis, visualized the pathological phenotype of the risk score using ...

Exploring prognostic biomarkers in pathological images of colorectal ...

The deep learning algorithm identified the colorectal cancer risk score (CRCRS) as a prognostic indicator in CRC, providing a significant approach for ...

Exploring prognostic biomarkers in pathological images of colorectal ...

Exploring prognostic biomarkers in pathological images of colorectal cancer patients via deep learning. Binshen Wei, Linqing Li, Yenan Feng, Sihan Liu, Peng ...

Exploring prognostic biomarkers in pathological images of colorectal ...

Exploring prognostic biomarkers in pathological images of colorectal cancer patients via deep learning - BinshenWei/CRCRS.

Exploring Predictive and Prognostic Biomarkers in Colorectal Cancer

Clinical and pathological phenotypes associated with BRAFV600E-mutated CRC include proximal tumor location, aggressive growth, unfavorable ...

Exploring biomarkers for prognosis and neoadjuvant ... - Frontiers

This study aimed to identified the key genes and sequencing metrics for predicting prognosis and efficacy of neoadjuvant chemotherapy (nCT) in rectal cancer ( ...

AI-based Pan-Cancer Survival Outcome Prediction and Biomarker ...

... predictive features, facilitating the exploration of prognostic biomarkers in complex medical data. ... Pathology for Survival Prediction

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 new ...

PLCOI-1251: improving prognosis prediction of colorectal cancer ...

1.To develop a deep learning-based method for extracting pathological features from histological images of CRC patients. 2.To explore the ...

Construction and validation of a deep learning prognostic model ...

... prognostic model based on digital pathology images of stage III colorectal cancer ... Xie et al. Evaluating cancer-related biomarkers based on pathological images ...

Protein prognostic biomarkers in stage II colorectal cancer - Nature

58.4% CRC-IIC) (Fig. 1). Similarly, multiple studies have also revealed the inconsistency in using pathological staging to evaluate overall ...

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

Exploring prognostic indicators in the pathological images ... colorectal cancer, with high levels of ECM change ... biomarkers. Cell Adh Migr. 6 (3), 249–260. doi ...

Improving Performance in Colorectal Cancer Histology ... - arXiv

... images. Consequently, enhancing the accuracy of tissue class decomposition is critical to amplifying the prognostic potential of imaging-based biomarkers.

Tumor biomarkers for diagnosis, prognosis and targeted therapy

... explored to monitor cancer biomarkers. ... Predictive and prognostic biomarkers in colorectal cancer: a systematic review of recent advances and ...

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

Jie-Yi Shi Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis ...

Recent Advancements in Deep Learning Using Whole - ProQuest

... colorectal cancer. Comput. Methods ... Exploring prognostic indicators in the pathological images of hepatocellular carcinoma based on deep learning.

Construction and validation of a deep learning prognostic model ...

... prognostic model based on digital pathology images of stage III colorectal cancer ... Evaluating Cancer-Related Biomarkers Based on Pathological Images: A ...

Exploring prognostic biomarkers in pathological images of colorectal ...

Exploring prognostic biomarkers in pathological images of colorectal cancer patients via deep learning. 通过深度学习探索结直肠癌患者病理图像中的预后生物标志 ...