PATENT CLAIM ANALYSIS

Application Number: 16278946
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["348", "077000"]

Abstract:
Provided herein are digital-implemented methods for performing simultaneous analyses on an object on the skin of an animal body, for example, a human, to classify the object as a skin cancer, an ulcer or neither. The analyses are performed simultaneously on a hand-held imaging device.

Claim (Index 14):
The method of  claim 13 , wherein the analysis is for a skin cancer, said processor executable steps comprising:\n a) obtain luminance and color components of the imaged object; b) classify pixels comprising the image as object pixels, if they belong to a common luminance and color foreground, as background pixels if they belong to a common luminance and color background or as remaining pixels if they are not classified as foreground pixels or background pixels; and c) apply a supervised classifier to the remaining pixels to classify them as object or background; d) calculate a saliency value for a plurality of patches within the segmented object and separate the patches into regions based on the saliency values; e) calculate an average intensity for the regions to identify them as a higher or as a lower intensity region; f) determine a sampling percentage for the intensity regions; g) sample patches within the intensity regions by corresponding sampling percentages; h) extract one or more feature representations for the object; i) training a support vector machine (SVM) with known manually segmented objects from a skin cancer; and j) classifying the object as a skin cancer or not a skin cancer based on the extracted feature representations inputted into the SVM trained with the manually segmented objects from the known skin cancer.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 99.0
- Lexical Diversity: 1.45714
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12075026', '15507107', '12089911', '13978919', '13858044']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6003224820127406
- 35 USC 102 Novelty (BERT): 0.4831488942179114
- Combined Prediction Score: 0.5886051232332578
- Mean Citation Score: 193.236886
- Max Citation Score: 195.53177
- Similarity Product: 146.28766304813087

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test