A Survey Paper on Adenocarcinoma Detection Using Deep Learning Methods

Adenocarcinoma is a subdivision of carcinoma which grows in the glands that line inside our body organs. The paper reviews recently developed systems with deep learning methods using medical imaging modalities like Computer Tomography (CT) and Optical Coherence Tomography (OCT) for the diagnosis of Adenocarcinoma. The study is done on the papers proposed in the past 5 years. The study compares with existing system on various performance measurements. Transfer learning technique with ResNet and Inception-v3 CNN models provide good results. Generative Adversarial Network (GAN) attracts the current scenario of Deep Learning. A good segmentation method with a powerful classifier can be used for medical image analysis.