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 …

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

Classification of histologic patterns in lung adenocarcinoma is critical for determining tumor
grade and treatment for patients. However, this task is often challenging due to the …

Lung cancer presents one of the leading causes of mortalities for people around the world.
Lung image analysis and segmentation are one of the primary steps used for early …

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 …

During the diagnostic workup of lung adenocarcinomas (LAC), pathologists evaluate distinct
histological tumor growth patterns. The percentage of each pattern on multiple slides bears …

Lung cancer has one of the highest mortality rates of all cancers and poses a severe threat
to people's health. Therefore, diagnosing lung nodules at an early stage is crucial to …

In computer-aided diagnosis systems for lung cancer, segmentation of lung nodules is
important for analyzing image features of lung nodules on computed tomography (CT) …

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 …

Background Lung cancer is a leading cause of death worldwide, and its early detection is
usually performed with low-dose computed tomography. For lesions suspected of …