Editorial: Recent Advances in Deep Learning and Medical Imaging for Cancer Treatment

• Published in: Cancers Vol. 16; no. 4; p. 700
• Main Authors: Ijaz, Muhammad Fazal, Woźniak, Marcin
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01-02-2024
• Subjects: Artificial intelligence; Automation; Cancer; Cancer therapies; Care and treatment; Classification; Computational linguistics; Deep learning; Language processing; Medical imaging equipment; Natural language interfaces; Neural networks
• ISSN: 2072-6694; 2072-6694
• DOI: 10.3390/cancers16040700

In the evolving landscape of medical imaging, the escalating need for deep-learningmethods takes center stage, offering the capability to autonomously acquire abstract datarepresentations crucial for early detection and classification for cancer treatment. Thecomplexities in handling diverse inputs, high-dimensional features, and subtle patternswithin imaging data are acknowledged as significant challenges in this technologicalpursuit. This Special Issue, "Recent Advances in Deep Learning and Medical Imagingfor Cancer Treatment", has attracted 19 high-quality articles that cover state-of-the-artapplications and technical developments of deep learning, medical imaging, automaticdetection, and classification, explainable artificial intelligence-enabled diagnosis for cancertreatment. In the ever-evolving landscape of cancer treatment, five pivotal themes haveemerged as beacons of transformative change. This editorial delves into the realms ofinnovation that are shaping the future of cancer treatment, focusing on five interconnectedthemes: use of artificial intelligence in medical imaging, applications of AI in cancerdiagnosis and treatment, addressing challenges in medical image analysis, advancementsin cancer detection techniques, and innovations in skin cancer classification.