Deep learning methods for drug response prediction in cancer: Predominant and emerging trends
1. Introduction Cancer treatment response prediction is a problem of great importance for both clinical and pharmacological research communities. Many...
Deep
EaTVul: Demonstrating Over 83% Success Rate in Evasion Attacks on Deep Learning-Based Software Vulnerability Detection Systems
Software vulnerability detection has seen substantial advancements in integrating deep learning models, which have shown high accuracy in identifying potential...
Robust evaluation of deep learning-based representation methods for survival and gene essentiality prediction on bulk RNA-seq data
In this section, we describe all the different elements of the benchmarking pipeline depicted in Supplementary Fig. S1. Additional details...
Deep learning approach enhances HER2 scoring in breast cancer
Automated HER2 Scoring in Breast Cancer Images Using Deep Learning and Pyramid Sampling. Credit: UCLA Engineering Institute for Technology Advancement...
Top 10 Deep Learning Algorithms You Should Know in 2024
Deep learning has gained massive popularity in scientific computing, and its algorithms are widely used by industries that solve complex...
Deep learning methods enable image enhancement advances
Benchmark datasets The literature covers many image enhancement datasets. The SYD synthetic dataset1 serves as a low-light simulation dataset with...
