Deep learning in radiology for lung cancer diagnostics: A systematic review of classification, segmentation, and predictive modeling techniques
This study presents a comprehensive systematic review focusing on the applications of deep
learning techniques in lung cancer radiomics. Through a rigorous screening process of 589 …
learning techniques in lung cancer radiomics. Through a rigorous screening process of 589 …
Artificial Intelligence-based Radiomics in the Era of Immuno-oncology
The recent, rapid advances in immuno-oncology have revolutionized cancer treatment and
spurred further research into tumor biology. Yet, cancer patients respond variably to …
spurred further research into tumor biology. Yet, cancer patients respond variably to …
Deep Learning and Precision Medicine: Lessons to Learn for the Preeminent Treatment for Malignant Tumors
S Nandakumar, SA Khan, P Ganesan… - Deep Learning for …, 2022 - Wiley Online Library
The healthcare system is transforming as a result of new technology invention and
implementation, which promotes therapeutic interventions and treatment outcomes for …
implementation, which promotes therapeutic interventions and treatment outcomes for …