59 citations · 99 across the 8 of their papers we have counts for
8 papers
IMA++: ISIC Archive Multi-Annotator Dermoscopic Skin Lesion Segmentation Dataset
Kumar Abhishek, Jeremy Kawahara, Ghassan Hamarneh
Multi-annotator medical image segmentation is an important research problem, but requires annotated datasets that are expensive to collect. Dermoscopic skin lesion imaging allows h…
What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation?
Kumar Abhishek, Jeremy Kawahara, Ghassan Hamarneh
Medical image segmentation exhibits intra- and inter-annotator variability due to ambiguous object boundaries, annotator preferences, expertise, and tools, among other factors. Les…
Segmentation Style Discovery: Application to Skin Lesion Images
Kumar Abhishek, Jeremy Kawahara, Ghassan Hamarneh
Variability in medical image segmentation, arising from annotator preferences, expertise, and their choice of tools, has been well documented. While the majority of multi-annotator…
DermSynth3D: Synthesis of in-the-wild Annotated Dermatology Images
Ashish Sinha, Jeremy Kawahara, Arezou Pakzad +6
In recent years, deep learning (DL) has shown great potential in the field of dermatological image analysis. However, existing datasets in this domain have significant limitations,…
Diffusion-based Data Augmentation for Skin Disease Classification: Impact Across Original Medical Datasets to Fully Synthetic Images
Mohamed Akrout, Bálint Gyepesi, Péter Holló +9
Despite continued advancement in recent years, deep neural networks still rely on large amounts of training data to avoid overfitting. However, labeled training data for real-world…
Skin3D: Detection and Longitudinal Tracking of Pigmented Skin Lesions in 3D Total-Body Textured Meshes
Mengliu Zhao, Jeremy Kawahara, Kumar Abhishek +2
We present an automated approach to detect and longitudinally track skin lesions on 3D total-body skin surface scans. The acquired 3D mesh of the subject is unwrapped to a 2D textu…
Visual Diagnosis of Dermatological Disorders: Human and Machine Performance
Jeremy Kawahara, Ghassan Hamarneh
Skin conditions are a global health concern, ranking the fourth highest cause of nonfatal disease burden when measured as years lost due to disability. As diagnosing, or classifyin…
Fully Convolutional Neural Networks to Detect Clinical Dermoscopic Features
Jeremy Kawahara, Ghassan Hamarneh
The presence of certain clinical dermoscopic features within a skin lesion may indicate melanoma, and automatically detecting these features may lead to more quantitative and repro…