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Found 15 papers, 4 papers with code
Dermoscopic Dark Corner Artifacts Removal: Friend or Foe?
This paper provides a new guideline for skin lesions analysis with an emphasis on reproducibility.
Quantifying the Effect of Image Similarity on Diabetic Foot Ulcer Classification
This research conducts an investigation on the effect of visually similar images within a publicly available diabetic foot ulcer dataset when training deep learning classification networks.
Diabetic Foot Ulcer Grand Challenge 2022 Summary
The Diabetic Foot Ulcer Challenge 2022 focused on the task of diabetic foot ulcer segmentation, based on the work completed in previous DFU challenges.
Translating Clinical Delineation of Diabetic Foot Ulcers into Machine Interpretable Segmentation
This paper demonstrates that image processing using refined contour as ground truth can provide better agreement with machine predicted results.
V-LinkNet: Learning Contextual Inpainting Across Latent Space of Generative Adversarial Network
The RSTL layer easily adapts dual encoders by increasing the unique semantic information through direct communication.
Development of Diabetic Foot Ulcer Datasets: An Overview
This paper provides conceptual foundation and procedures used in the development of diabetic foot ulcer datasets over the past decade, with a timeline to demonstrate progress.
Diabetic Foot Ulcer Grand Challenge 2021: Evaluation and Summary
Diabetic foot ulcer classification systems use the presence of wound infection (bacteria present within the wound) and ischaemia (restricted blood supply) as vital clinical indicators for treatment and prediction of wound healing.
3D-CNN for Facial Micro- and Macro-expression Spotting on Long Video Sequences using Temporal Oriented Reference Frame
Facial expression spotting is the preliminary step for micro- and macro-expression analysis.
Foreground-guided Facial Inpainting with Fidelity Preservation
It introduces the use of foreground segmentation masks to preserve the fidelity.
Deep learning in magnetic resonance prostate segmentation: A review and a new perspective
Deep learning has been identified as a potential new technology for the delivery of precision radiotherapy in prostate cancer, where accurate prostate segmentation helps in cancer detection and therapy.
R-MNet: A Perceptual Adversarial Network for Image Inpainting
We address the problem by proposing a Wasserstein GAN combined with a new reverse mask operator, namely Reverse Masking Network (R-MNet), a perceptual adversarial network for image inpainting.
Anysize GAN: A solution to the image-warping problem
We develop a novel architecture that can be applied to existing latent vector based GAN structures that allows them to generate on-the-fly images of any size.
Symmetric Skip Connection Wasserstein GAN for High-Resolution Facial Image Inpainting
Additionally, we propose a Wasserstein-Perceptual loss function to preserve colour and maintain realism on a reconstructed image.
SAMM Long Videos: A Spontaneous Facial Micro- and Macro-Expressions Dataset
We conduct facial expression spotting using this dataset and compare it with the baseline of MEGC III.
Automated Assessment of Facial Wrinkling: a case study on the effect of smoking
The face was divided into ten predefined regions, where the wrinkles in each region was extracted.
