AI in cancer detection
118 ta ish
KNOWLEDGE, CLINICAL ATTITUDES, AND PERCEIVED BARRIERS TOWARD LIQUID BIOPSY AND MULTI-CANCER EARLY DETECTION (MCED): A COMPARATIVE CROSS-SECTIONAL ANALYSIS BETWEEN MEDICAL STUDENTS AND FACULTY
Basha Samir, Fayaz Mohammed, Mustaq K. Mohamed
MaqolaCancer Genomics and DiagnosticsZenodo (CERN European Organization for Nuclear Research)20260 iqtibosABIKNOWLEDGE, CLINICAL ATTITUDES, AND PERCEIVED BARRIERS TOWARD LIQUID BIOPSY AND MULTI-CANCER EARLY DETECTION (MCED): A COMPARATIVE CROSS-SECTIONAL ANALYSIS BETWEEN MEDICAL STUDENTS AND FACULTY
Basha Samir, Fayaz Mohammed, Mustaq K. Mohamed
MaqolaCancer Genomics and DiagnosticsZenodo (CERN European Organization for Nuclear Research)20260 iqtibosABIScalable HMO-CNN-SVM Framework for Skin Lesion Classification: A Metaheuristic-Driven Approach With Parallelizable Optimization for Cluster Deployment
Wulfran Fendzi Mbasso, Ambe Harrison, Zokir Mamadiyarov +4
MaqolaCutaneous Melanoma Detection and ManagementBiomedical Engineering and Computational Biology20260 iqtibosABI