Automated Report Generation for Lung Cytological Images Using a CNN Vision Classifier and Multiple-Transformer Text Decoders: Preliminary Study

arXiv:2403.18151v1 Announce Type: cross
Abstract: Cytology plays a crucial role in lung cancer diagnosis. Pulmonary cytology involves cell morphological characterization in the specimen and reporting the corresponding findings, which are extremely burdensome tasks. In this study, we propose a report-generation technique for lung cytology images. In total, 71 benign and 135 malignant pulmonary cytology specimens were collected. Patch images were extracted from the captured specimen images, and the findings were assigned to each image as a dataset for report generation. …

abstract arxiv automated cancer cancer diagnosis classifier cnn cs.cv diagnosis eess.iv images lung cancer multiple physics.med-ph report reporting role study tasks text transformer type vision