| The study demonstrates the effectiveness of combining ResNet and CNN for the automatic detection of histopathologic images and YOLOv7 for brain tumor MR images. The author tries to increase the accuracy of the CNN-based deep learning model by applying ResNet 50 for data preprocessing. The methods have an accuracy of 97.75% for a straight-forward deep CNN model with data augmentations and an accuracy of 79.25% with ResNet 50. The proposed approach has the potential to be used in clinical settings for early detection and diagnosis of cancer, which can lead to better treatment outcomes and improved patient care. |