Accuracy improvement of carcinoma detection on screening diagnostic procedure by using deep learning method
International Journal of Mechanical Engineering · 2023
This paper presents a comprehensive analysis of the application of deep learning methods to enhance the precision of carcinoma identification during screening diagnostic procedures.Recent research has put forth a range of models and approaches, encompassing lung cancer, breast cancer, cervical cancer, gastric cancer, and liver cancer.The aforementioned models have exhibited encouraging outcomes in enhancing the precision of cancer identification and mitigating instances of erroneous positive diagnoses.The optimal choice of model is contingent upon the particular circumstances, encompassing the cancer subtype, the diagnostic modality, and the accessible data.In general, the application of deep learning techniques in the detection of carcinoma holds promise for enhancing the accuracy of cancer diagnosis and improving treatment efficacy.