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Found 10 papers, 5 papers with code
A Survey on Deep Learning for Skin Lesion Segmentation
We analyze these works along several dimensions, including input data (datasets, preprocessing, and synthetic data generation), model design (architecture, modules, and losses), and evaluation aspects (data annotation requirements and segmentation performance).
Image Synthesis with Adversarial Networks: a Comprehensive Survey and Case Studies
However, there is a lack of comprehensive review in this field, especially lack of a collection of GANs loss-variant, evaluation metrics, remedies for diverse image generation, and stable training.
Social Behavioral Phenotyping of Drosophila with a2D-3D Hybrid CNN Framework
Behavioural phenotyping of Drosophila is an important means in biological and medical research to identify genetic, pathologic or psychologic impact on animal behaviour.
Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)
This work summarizes the results of the largest skin image analysis challenge in the world, hosted by the International Skin Imaging Collaboration (ISIC), a global partnership that has organized the world's largest public repository of dermoscopic images of skin.
Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collaboration (ISIC)
This article describes the design, implementation, and results of the latest installment of the dermoscopic image analysis benchmark challenge.
An Overview of Melanoma Detection in Dermoscopy Images Using Image Processing and Machine Learning
The development of advanced technologies in the areas of image processing and machine learning have given us the ability to allow distinction of malignant melanoma from the many benign mimics that require no biopsy.
Linear, Deterministic, and Order-Invariant Initialization Methods for the K-Means Clustering Algorithm
Therefore, it is common practice to perform multiple runs of such methods and take the output of the run that produces the best results.
Lesion Border Detection in Dermoscopy Images Using Ensembles of Thresholding Methods
Dermoscopy is one of the major imaging modalities used in the diagnosis of melanoma and other pigmented skin lesions.
Deterministic Initialization of the K-Means Algorithm Using Hierarchical Clustering
Experiments on a large and diverse collection of data sets from the UCI Machine Learning Repository demonstrate that Var-Part and PCA-Part are highly competitive with one of the best random initialization methods to date, i. e., k-means++, and that the proposed approach significantly improves the performance of both hierarchical methods.
A Comparative Study of Efficient Initialization Methods for the K-Means Clustering Algorithm
K-means is undoubtedly the most widely used partitional clustering algorithm.
