Abstract: This paper proposes a hybrid deep learning model integrating DenseNet201 and InceptionV3 to address the challenges in achieving accurate and reliable cervical cancer classification. Current ...
Abstract: Diagnosing cervical cancer early is crucial for successful treatment. Early detection proves to be challenging in areas where medical infrastructure is scarce, as is the awareness and ...
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