Acne Severity Grading
6 papers with code • 1 benchmarks • 1 datasets
ACNE04
Most implemented papers
Joint Acne Image Grading and Counting via Label Distribution Learning
xpwu95/ldl
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ICCV 2019
Accurate grading of skin disease severity plays a crucial role in precise treatment for patients.
KIEGLFN: A unified acne grading framework on face images
linyi0604/KIEGLFN
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Computer Methods and Programs in Biomedicine 2022
Methods: A unified acne grading framework that can be generalized to apply referring to different grading criteria is developed.
Automatic Acne Object Detection and Acne Severity Grading Using Smartphone Images and Artificial Intelligence
HuynhThanhQuan/skin-detective
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Diagnostics 2022
AcneDet includes two models for two tasks: (1) a Faster R-CNN-based deep learning model for the detection of acne lesion objects of four types, including blackheads/whiteheads, papules/pustules, nodules/cysts, and acne scars; and (2) a LightGBM machine learning model for grading acne severity using the Investigator’s Global Assessment (IGA) scale.
Acne Severity Grading on Face Images via Extraction and Guidance of Prior Knowledge
linyi0604/PKGF
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IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2023
Acne Vulgaris seriously affects people’s daily life.
DED: Diagnostic Evidence Distillation for acne severity grading on face images
linyi0604/DED-Diagnostic-Evidence-Distillation-for-Acne-Severity-Grading-on-Face-Images
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Expert Systems with Applications 2023
In this study, we propose an acne diagnosis method, Diagnostic Evidence Distillation (DED), that suitably adapts the characteristics of acne diagnosis and can be applied to diagnose under different acne criteria.
Improving Acne Image Grading with Label Distribution Smoothing
Addressing these limitations, we proposed to incorporate severity scale information into lesion counting by combining LDL with label smoothing, and to decouple if from global assessment.
