Integrating hybrid transfer learning with attention-enhanced deep learning models to improve breast cancer diagnosis - Jakkaladiki, Sudha Prathyusha; Maly, Filip (PeerJ. Computer science, 2024)
Keywords: Accuracy; Algorithms; Artificial Intelligence; Artificial neural networks; Attention mechanism; Bioinformatics; Biopsy; Breast cancer; Cancer; Care and treatment; Classification; Computational linguistics; Computed tomography; Computer Vision; CT imaging; Data Mining and Machine Learning; Data Science; Datasets; Deep learning; Diagnosis; Diagnostic imaging; Efficiency; Feature fusion; Imaging systems; Language processing; Machine learning; Magnetic resonance imaging; Mammography; Medical diagnosis; Medical imaging; Medical prognosis; Medical screening; Methods; Natural language interfaces; Neural networks; Oncology, Experimental; Patients; Performance evaluation; Recall; Repositories; Thermography; Transfer learning; Tumors; Ultrasonic imaging; Womens health; X ray imagery; X-rays; Deep learning; Attention mechanism; Breast cancer; Feature fusion; Transfer learning