Goal: Deep learning techniques have made significant progress in medical image analysis.
However, obtaining ground truth labels for unlabeled medical images is challenging as they …

Most primary brain malignancies are malignant tumors characterized by masses of
abnormal tissue that grow uncontrollably. Recently, deep transfer learning (DTL) has been …

Lung cancer is one of the most prevalent diseases worldwide, being the most common type
of cancer. Non-small cell lung cancer (NSCLC) with a five-year survival rate of less than …

Lung cancer is a huge and serious hazard to human health, as it is one of the deadliest
cancers for both men and women, owing to its ability to metastasize to other organs. Cancer …

Malignant skin lesions pose a great threat to patients' health, and the use of computer
algorithms for automatic skin medical image classification can effectively improve the …

Lung cancer is regarded as one of the most lethal diseases endangering human survival. It
is difficult to detect lung cancer in its early stages, because of the ambiguity in the lung …

Objective Pneumonia is a thoracic disease triggered by a pathogen infection in the lungs. A
routine diagnostic test to detect pneumonia is a chest radiography. Radiologists or expert …

Lung cancer is one of the deadliest cancers in the world and is a serious threat to human
life. Lung nodules are an early manifestation of lung cancer, early detection and treatment of …

Despite the enormous achievements of Deep Learning (DL) based models, their non-
transparent nature led to restricted applicability and distrusted predictions. Such predictions …

Weakly supervised semantic segmentation based on bounding box has been fully
developed in natural scenes, but in medical image scenes it often faces the difficulties of …