A recent study published in Science Bulletin introduced an intraoperative diagnostic workflow that utilizes deep learning algorithms to classify tumors based on D-FFOCT images, providing rapid and accurate automated diagnosis. This approach has the potential to improve the efficiency and accuracy of intraoperative assessments for tumor surgery.
