Objective: Accurate diagnosis and prognosis are essential in lung cancer treatment
selection and planning. With the rapid advance of medical imaging technology, whole slide …

Simple Summary Lung cancer is one of the most common and deadly malignancies
worldwide. Microscopic examination of histological and cytological lung specimens can be a …

Simple Summary This study investigates the latest achievements, challenges, and future
research directions of deep learning techniques for lung cancer and pulmonary nodule …

Lung diseases carry a significant burden of morbidity and mortality worldwide. The advent of
digital pathology (DP) and an increase in computational power have led to the development …

Deep learning has emerged as a powerful tool for medical image analysis and diagnosis,
demonstrating high performance on tasks such as cancer detection. This literature review …

Background Targeted therapy and immunotherapy put forward higher demands for accurate
lung cancer classification, as well as benign versus malignant disease discrimination. Digital …

Background The spatial distributions of different types of cells could reveal a cancer cell's
growth pattern, its relationships with the tumor microenvironment and the immune response …

Accurate segmentation of lung cancer in pathology slides is a critical step in improving
patient care. We proposed the ACDC@ LungHP (Automatic Cancer Detection and …

Tumor histology is an important predictor of therapeutic response and outcomes in lung
cancer. Tissue sampling for pathologist review is the most reliable method for histology …

Lung cancer is a leading cause of death worldwide. Currently, in differential diagnosis of
lung cancer, accurate classification of cancer types (adenocarcinoma, squamous cell …