Machine learning and deep learning models for predicting colorectal cancer metastases: A comprehensive review. [PDF]
Eur J Radiol OpenGetu MA +6 more
europepmc +1 more source
Differentiation between benign and malignant orbital tumors using deep transfer learning features and hand-crafted radiomics features from traditional CT imaging. [PDF]
Front OncolHuang W, Xu X, Han X, Zhang G.
europepmc +1 more source
Decoding Glioblastoma Complexity Through Extracellular Vesicles, Organ-on-Chip Models, and Deep Learning. [PDF]
CellsAmato D +7 more
europepmc +1 more source
Deep learning based on CD3 histological slides for prediction of colon cancer outcome: analysis of three international stage III colon cancer cohorts. [PDF]
OncoimmunologyLécuelle J +13 more
europepmc +1 more source
Association between deep learning-based coronary artery calcium score on non-gated chest CT and progression of chronic kidney disease: a retrospective observational cohort study. [PDF]
BMC Med ImagingYang K +7 more
europepmc +1 more source
A Deep Learning Breast Cancer Risk Model for Precise Supplemental Screening.
JAMA Netw OpenLamb LR +3 more
europepmc +1 more source
Related searches:
Auto-DL: A Platform to Generate Deep Learning Models
2021Deep Learning (DL) model building is a tedious and taxing process. The number of prerequisites is high and a lot of time is invested. Hence, there is a scope of Automation. Code to build DL models follows a standard structure, broadly classified into four categories (Imports, Data Input, Model Creation, and Evaluation).
Aditya Srivastava +4 more
openaire +1 more source