Mishra, D, Wang, J, Wang, ST, Cao, Q, Hurbon, H, Akers, W, and Berezin, MY. Selection of Hyperspectral Endmember Extraction Algorithm for Tumor Delineation in Animal Models. Retrieved from https://par.nsf.gov/biblio/10283610. Biophotonics Congress 2021 OSA Technical Digest (Optical Society of America, 2021), paper OF2E.2 .

Mishra, D, Wang, J, Wang, ST, Cao, Q, Hurbon, H, Akers, W, & Berezin, MY. Selection of Hyperspectral Endmember Extraction Algorithm for Tumor Delineation in Animal Models. Biophotonics Congress 2021 OSA Technical Digest (Optical Society of America, 2021), paper OF2E.2, (). Retrieved from https://par.nsf.gov/biblio/10283610.

Mishra, D, Wang, J, Wang, ST, Cao, Q, Hurbon, H, Akers, W, and Berezin, MY. "Selection of Hyperspectral Endmember Extraction Algorithm for Tumor Delineation in Animal Models". Biophotonics Congress 2021 OSA Technical Digest (Optical Society of America, 2021), paper OF2E.2 (). Country unknown/Code not available. https://par.nsf.gov/biblio/10283610.

@article{osti_10283610,
place = {Country unknown/Code not available}, title = {Selection of Hyperspectral Endmember Extraction Algorithm for Tumor Delineation in Animal Models}, url = {https://par.nsf.gov/biblio/10283610}, abstractNote = {Advanced algorithms used in geospatial imaging were adopted for biomedical application to analyze hyperspectral datasets. To demonstrate the effectiveness, endmember extractions method was applied for delineating tumors in animal models of cancer.}, journal = {Biophotonics Congress 2021 OSA Technical Digest (Optical Society of America, 2021), paper OF2E.2}, author = {Mishra, D and Wang, J and Wang, ST and Cao, Q and Hurbon, H and Akers, W and Berezin, MY}, editor = {null} }