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Actinic Keratosis Prediction Based on Deep Learning Methods
Guan Yi He
, Chi Ping Su
, Chung Shuo Chen
, Yao Sung Hsiang
, Wei Huan Hu
,
Shin Jye Lee
*
*
此作品的通信作者
科技管理研究所
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Keyphrases
Prediction Method
100%
Learning Methods
100%
Actinic Keratosis
100%
Skin Cancer
33%
Squamous Cell Carcinoma (SqCC)
33%
Deep Learning Model
33%
YOLOv7
33%
Skin Images
33%
Early Treatment
22%
Early Detection
22%
Early Prevention
22%
Skin Lesions
22%
Clinical Practice
11%
Clinical Decisions
11%
Art Objects
11%
Deep Learning
11%
Increasing Prevalence
11%
Effective Management
11%
Object Detection Algorithm
11%
Lesion Detection
11%
Skin Area
11%
Dermatologist
11%
Gradient-weighted Class Activation Mapping (Grad-CAM)
11%
Medicine and Dentistry
Actinic Keratosis
100%
Skin Cancer
33%
Squamous Cell Carcinoma
33%
Skin Defect
22%
Prevalence
11%
Precursor
11%
Dermatology
11%
Clinical Decision Making
11%
Pharmacology, Toxicology and Pharmaceutical Science
Actinic Keratosis
100%
Skin Cancer
33%
Squamous Cell Carcinoma
33%
Skin Defect
22%
Prevalence
11%