Radiology Classification of lung cancer computed tomography images using a 3-dimensional deep convolutional neural network with multi-layer filter. June 27, 2023
Pathology | Radiology Machine learning and deep learning techniques for breast cancer diagnosis and classification: a comprehensive review of medical imaging studies. June 6, 2023
Clinical Risk Stratification | Oncology A deep-learning-based clinical risk stratification for overall survival in adolescent and young adult women with breast cancer. June 5, 2023
Oncology | Radiology Differential diagnosis of hepatocellular carcinoma and intrahepatic cholangiocarcinoma based on spatial and channel attention mechanisms. June 2, 2023
Neurology | Radiology Segmentation and classification of brain tumors using fuzzy 3D highlighting and machine learning. May 11, 2023
Artificial Intelligence | Oncology A novel staging system based on deep learning for overall survival in patients with esophageal squamous cell carcinoma. May 8, 2023
Oncology | Pathology Deep learning-based methods for classification of microsatellite instability in endometrial cancer from HE-stained pathological images. May 7, 2023
Pathology The Swin-Transformer network based on focal loss is used to identify images of pathological subtypes of lung adenocarcinoma with high similarity and class imbalance. April 25, 2023
Oncology | Pathology | Radiology | Surgery Optical coherence tomography combined with convolutional neural networks can differentiate between intrahepatic cholangiocarcinoma and liver parenchyma ex vivo. April 12, 2023
Pathology | Radiology | Surgery Invasiveness assessment by artificial intelligence against intraoperative frozen section for pulmonary nodules ≤ 3 cm. April 4, 2023
Oncology | Pathology Using deep learning to predict survival outcome in non-surgical cervical cancer patients based on pathological images. January 18, 2023
Gynecology | Oncology A diagnostic miRNA panel to detect recurrence of ovarian cancer through artificial intelligence approaches. November 15, 2022