A bioimpedance spectroscopy imaging method for biological tissue detection based on electrical impedance tomography (EIT) and bioimpedance spectroscopy (BIS) is proposed. This method visualizes the target area and accurately recognizes the target type, which can be used for early detection of lung cancer, assist clinicians in accurate detection of early lung cancer, and improve the cure rate of early lung cancer. This paper verifies the feasibility and effectiveness of the bioimpedance spectroscopy imaging method in the early detection of lung cancer by numerical simulation. The simulation results show that: 1) The bioimpedance spectroscopy imaging method can realize the visualization of the early lung cancer area and accurately distinguish the type of early lung cancer, 2) The optimal number of acquisitions of impedance spectroscopy is 4, and the best classifier is Linear-SVM, and the average classification accuracy of 5-fold cross-validation can reach 99.9%. In order to verify the simulation results, this paper selected three biological tissues with different electrical characteristics to simulate cancerous regions for detection. The experimental results show that the method can visualize the biological tissue area and distinguish the type of biological tissue. This method can take into account the advantages of electrical impedance imaging and bioimpedance spectroscopy, and is very promising in the actual early detection of lung cancer.