Atomic force microscopy–based assessment of multimechanical cellular properties for classification of graded bladder cancer cells and cancer early diagnosis using machine learning analysis
Xinyao Zhu, Rui Qin, Kaige Qu, Zuobin Wang, Xuexia Zhao, Wei Xu
Topics & Concepts
Receiver operating characteristicBladder cancerClassifier (UML)Atomic force microscopyArtificial intelligenceCancer cellForce spectroscopyCancerMachine learningMaterials scienceComputer scienceMedicineNanotechnologyInternal medicineCellular Mechanics and InteractionsHeat shock proteins researchSpectroscopy Techniques in Biomedical and Chemical Research