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1215 results about "Skin damage" patented technology

Digital skin lesion imaging system and method

InactiveUS7162063B1Easy to useReadily accurately identifyImage enhancementImage analysisDisplay deviceImage scale
New or significantly changed skin lesions are detected by providing digital baseline image data of an area of a subject's skin by placing a calibration piece on the area and then positioning a digital camera to frame the area within a field of view of the camera and digitally photographing the area to produce a digital baseline image of the area. The digital baseline image is downloaded from the camera to a computer, which digitally filters the baseline image to produce a partially transparent baseline image scaled to fit over a viewfinder display of the camera. The filtered baseline image is printed on a transparent sheet to produce template. Substantially later, a calibration piece is placed on the area, and the template is placed over the viewfinder display of the camera. The camera is positioned to frame that area within the field of view so as to align a live image of the area with the baseline image on the template. The area is photographed to produce a digital current image thereof. The current image is downloaded to the computer, which is operated to alternately display the aligned current image data and the baseline image data to allow visual identification of lesions which changed enough in the “alternating image comparison display” to identify a new or significantly growing lesion.
Owner:WESTERN RES

Treatment and prevention of abnormal scar formation in keloids and other cutaneous or internal wounds or lesions

The present invention relates to findings that reducing the activity of Plasminogen Activator Inhibitor-1 (PAI-1) suppresses an excessive deposition of collagen which is known as a cause for the formation of abnormal scars. These abnormal scars include but are not limited to keloids, adhesions, hypertrophic scars, skin disfiguring conditions, fibrosis, fibrocystic conditions, contractures, and scleroderma, all of which are associated with or caused by an excessive deposit of collagen in a wound healing process. Accordingly, aspects of the present invention are directed to the reduction of PAI-1 activity to decrease an excessive accumulation of collagen, prevent the formation of an abnormal scar, and/or treat abnormal scars that result from an excessive accumulation of collagen. The PAI-1 activity can be reduced by PAI-1 inhibitors which include but are not limited to PAI-1 neutralizing antibodies, diketopiperazine based compounds, tetramic acid based compounds, hydroxyquinolinone based compounds, Enalapril, Eprosartan, Troglitazone, Vitamin C, Vitamin E, Mifepristone (RU486), and Spironolactone to name a few. Another aspect of the present invention is directed to methods of measuring PAI-1 activity in a wound healing process and determining the propensity of the formation of an abnormal scar.
Owner:CHILDRENS HOSPITAL OF LOS ANGELES +1

A dermatoscope image segmentation method based on a multi-branch convolutional neural network

The invention discloses a dermatoscope image segmentation method based on a multi-branch convolutional neural network. The method comprises the following steps of 1, collecting training samples; 2, expanding the image; 3, designing a multi-branch convolutional neural network model; 4, training the multi-branch convolutional network; 5, generating a skin damage distribution probability graph; 6, obtaining a segmentation result. The method has the advantages that the training data set is effectively expanded by using the corresponding image transformation according to the data characteristics ofthe dermatoscope image, so that the network training is effective, and the generalization performance is high; the convolutional neural network comprises a plurality of branches, rich semantic information and detail information are fused, compared with a common network, the skin lesion edge can be better recovered, and a more accurate skin lesion segmentation result is obtained; the method is a full-automatic segmentation scheme, only the dermatoscope image to be segmented needs to be input, the segmentation result of the image can be automatically given through the scheme, the additional processing is not needed, and the method is efficient, simple and convenient.
Owner:BEIHANG UNIV
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