Special issue “The advance of solid tumor research in China”: Prognosis prediction for stage II colorectal cancer by fusing computed tomography radiomics and deep‐learning features of primary lesions and peripheral lymph nodes
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Cancer"
DOI: 10.1002/ijc.34053
Abstract: Currently, the prognosis assessment of stage II colorectal cancer (CRC) remains a difficult clinical problem; therefore, more accurate prognostic predictors must be developed. In our study, we developed a prognostic prediction model for stage II… read more here.
Keywords: radiomics deep; prognosis; stage; prediction ... See more keywords
Prognostic aspects of lymphovascular invasion in localized gastric cancer: new insights into the radiomics and deep transfer learning from contrast-enhanced CT imaging
Sign Up to like & getrecommendations! Published in 2021 at "Abdominal Radiology"
DOI: 10.1007/s00261-021-03309-z
Abstract: Lymphovascular invasion (LVI) is a factor significantly impacting treatment and outcome of patients with gastric cancer (GC). We aimed to investigate prognostic aspects of a preoperative LVI prediction in GC using radiomics and deep transfer… read more here.
Keywords: gastric cancer; deep transfer; radiomics deep; transfer learning ... See more keywords
Radiomics and Deep Learning in Clinical Imaging: What Should We Do?
Sign Up to like & getrecommendations! Published in 2018 at "Nuclear Medicine and Molecular Imaging"
DOI: 10.1007/s13139-018-0514-0
Abstract: During the past several years, radiomics and deep learning (DL) became hot issues in medical imaging field, especially in cancer imaging. Radiomics is an emerging field of medical imaging that uses a series of qualitative… read more here.
Keywords: medicine; nuclear medicine; radiomics deep; deep learning ... See more keywords
White Blood Cells Image Classification Based on Radiomics and Deep Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3223669
Abstract: White blood cell (WBC) identification performance is highly correlated with the quality of the extracted features, with radiomic features having greater resolution and more detailed information and deep features having more robust semantic information. This… read more here.
Keywords: radiomics deep; deep features; classification; deep learning ... See more keywords
Abstract 5435: Correlating and combining computational radiomics, deep radiomics and transcriptomics data in soft-tissue sarcomas (STS) patients highlight complementary prognostic information
Sign Up to like & getrecommendations! Published in 2023 at "Cancer Research"
DOI: 10.1158/1538-7445.am2023-5435
Abstract: Introduction: STS are mostly prognosticated through nomograms relying on age, size, histotype and grade. Radiomics approaches, complemented with deep-learning, deep-radiomics and gene-expression profiling, could help understanding the bridge between STS radiophenotypes and molecular features and… read more here.
Keywords: complementary prognostic; radiomics deep; computational radiomics; deep radiomics ... See more keywords
Radiomics and Deep Learning: Hepatic Applications
Sign Up to like & getrecommendations! Published in 2020 at "Korean Journal of Radiology"
DOI: 10.3348/kjr.2019.0752
Abstract: Radiomics and deep learning have recently gained attention in the imaging assessment of various liver diseases. Recent research has demonstrated the potential utility of radiomics and deep learning in staging liver fibroses, detecting portal hypertension,… read more here.
Keywords: radiomics deep; hepatic applications; learning hepatic; radiology ... See more keywords
Assessing the robustness of radiomics/deep learning approach in the identification of efficacy of anti–PD-1 treatment in advanced or metastatic non-small cell lung carcinoma patients
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Oncology"
DOI: 10.3389/fonc.2022.952749
Abstract: Administration of anti–PD-1 is now a standard therapy in advanced non-small cell lung carcinoma (NSCLC) patients. The clinical application of biomarkers reflecting tumor immune microenvironment is hurdled by the invasiveness of obtaining tissues despite its… read more here.
Keywords: radiomics deep; non small; small cell; deep learning ... See more keywords
Using Quantitative Imaging for Personalized Medicine in Pancreatic Cancer: A Review of Radiomics and Deep Learning Applications
Sign Up to like & getrecommendations! Published in 2022 at "Cancers"
DOI: 10.3390/cancers14071654
Abstract: Simple Summary With a five-year survival rate of only 3% for the majority of patients, pancreatic cancer is a global healthcare challenge. Radiomics and deep learning, two novel quantitative imaging methods that treat medical images… read more here.
Keywords: radiology; radiomics deep; pancreatic cancer; deep learning ... See more keywords
Differentiation of Glioblastoma and Brain Metastases by MRI-Based Oxygen Metabolomic Radiomics and Deep Learning
Sign Up to like & getrecommendations! Published in 2022 at "Metabolites"
DOI: 10.3390/metabo12121264
Abstract: Glioblastoma (GB) and brain metastasis (BM) are the most frequent types of brain tumors in adults. Their therapeutic management is quite different and a quick and reliable initial characterization has a significant impact on clinical… read more here.
Keywords: radiomics deep; glioblastoma brain; brain; oxygen ... See more keywords