Tumor Segmentation in Intraoperative Fluorescence Images Based on Transfer Learning and Convolutional Neural Networks.

Journal: Surgical innovation

PMID: 38619039

Abstract

OBJECTIVE: To propose a transfer learning based method of tumor segmentation in intraoperative fluorescence images, which will assist surgeons to efficiently and accurately identify the boundary of tumors of interest.

Authors

Weijia Hou

College of Science, Nanjing Forestry University, Nanjing, China.
Liwen Zou

Department of Mathematics, Nanjing University, Nanjing, China.
Dong Wang

Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China.

Keywords

Deep Learning Humans Image Processing, Computer-Assisted Neoplasms Neural Networks, Computer Optical Imaging Surgery, Computer-Assisted

External Resources

View on PubMed Access via DOI PubMed (38619039)

Tumor Segmentation in Intraoperative Fluorescence Images Based on Transfer Learning and Convolutional Neural Networks.

Abstract

Authors

Keywords

External Resources

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