A comprehensive detection apparatus and method for a cancerous region, relating to the technical field of deep learning. The method comprises: training a cancerous region detection network for preprocessed and labeled CT image data, and obtaining bounding box coordinates of a cancerous region and a corresponding cancerous confidence score by prediction; training a clinical analysis network for preprocessed clinical data having a cancer risk level, and obtaining a cancer probability value of a corresponding patient by prediction; and weighting the predicted cancer probability value into the predicted cancerous confidence score to achieve comprehensive determination of the cancerous region. By means of the method, cancerous regions can be detected in a high-precision and high-performance manner.
COMPREHENSIVE DETECTION APPARATUS AND METHOD FOR CANCEROUS REGION