Summary of the different deep learning methods by applications in gastric problems
Based method | Task | Application | Reference |
Convolutional neural network | Classification | Benign or malign of stomach biopsy specimens | 79 |
Benign or malignant images | 58 | ||
Gastric cancer or non-cancer | 32 | ||
64 | |||
Gastritis or non-gastritis | 34 | ||
Helicobacter pylori-positive or helicobacter pylori-negative | 38 | ||
39 | |||
Helicobacter pylori–related gastritis, reactive gastropathy and histologically normal gastric mucosa | 40 | ||
Neoplasm or non-neoplasm | 80 | ||
Normal gastric images or early gastric cancer images | 60 | ||
Normal or abnormal gastric slow wave | 61 | ||
With and without histology-proven atrophic gastritis | 35 | ||
Convolutional neural network and residual neural network | Benign ulcer and gastric cancer | 42 | |
Early gastric cancer, advanced gastric cancer, high grade dysplasia, low grade dysplasia or non-neoplasm | 41 | ||
Convolutional neural network with deep generalised multi-instance learning | Differentiation degree (poorly and well/moderately) and lauren type (intestinal, diffuse and mixed) | 81 | |
Convolutional neural network and deep reinforcement learning | Gastric sites | 62 | |
Residual neural network | Gastric cancer type (intestinal type or diffuse type) | 52 | |
Microsatellite instable or microsatellite stability | 53 | ||
Recurrent neural network | Live or dead probability | 51 | |
Convolutional neural network | Classification/detection | Benign or malignant gastric ulcer/gastric ulcer | 43 |
HER2+ tumour, HER2 tumour or non-tumour/necrosis detection | 5 | ||
Detection | Gastric cancer | 65 | |
Gastritis or non-gastritis | 36 | ||
37 | |||
Lymphocyte or non-lymphocyte | 66 | ||
Normal mucosa, non-cancerous pathology, cancer | 63 | ||
Signet ring cell cancer | 29 | ||
Signet-ring cell carcinoma component intramucosal or advanced | 82 | ||
Gastric ulcer | 43 | ||
Necrosis detection | 5 | ||
Generative adversarial network | Generation | Gastritis image generation | 56 |
57 | |||
Residual neural network | Segmentation | Gastric cancer | 54 |
Fully convolutional network | Gastric tumour | 48 | |
Recognise small cancerous tissues | 49 |