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2021-344 Biopsy-Free In Vivo Virtual Histology of Skin Using Deep Learning
Summary: UCLA researchers in the Departments of Electrical and Computer Engineering & Bioengineering have developed a non-invasive, biopsy-free technique for in vivo virtual histology of skin cancer using deep learning. Background: Tissue biopsies have often been used to diagnose skin cancers in patients. These procedures are generally cumbersome...
Published: 7/19/2023
|
Inventor(s):
Aydogan Ozcan
,
Jingxi Li
,
Yair Rivenson
,
Xiaoran Zhang
,
Philip Scumpia
,
Jason Garfinkel
,
Gennady Rubinstein
Keywords(s):
Artificial Intelligence
,
Biopsy
,
Cancer
,
Confocal Microscopy
,
Diagnostic Test
,
Histology
,
Image Resolution
,
Invasiveness Of Surgical Procedures
,
Melanoma
,
Optics
,
Skin
,
Software
,
Tissue (Biology)
,
Tumor
Category(s):
Software & Algorithms
,
Software & Algorithms > Image Processing
,
Life Science Research Tools
,
Life Science Research Tools > Microscopy And Imaging
,
Electrical > Imaging
,
Medical Devices > Medical Imaging
,
Optics & Photonics