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Found 7 papers, 0 papers with code
Learning multiplane images from single views with self-supervision
Although our method does not require stereo data for supervision, it reaches results on stereo datasets comparable to the state of the art in a zero-shot scenario.
A Smartphone based Application for Skin Cancer Classification Using Deep Learning with Clinical Images and Lesion Information
In this work, we present a smartphone-based application to assist on skin cancer detection.
Recent advances in deep learning applied to skin cancer detection
Skin cancer is a major public health problem around the world.
The impact of patient clinical information on automated skin cancer detection
These models are applied to the presented dataset using only the images and combining them with the patient clinical information.
Skin cancer detection based on deep learning and entropy to detect outlier samples
We describe our methods that achieved the 3rd and 4th places in tasks 1 and 2, respectively, at ISIC challenge 2019.
Classificação de espécies de peixe utilizando redes neurais convolucional
Data classification is present in different real problems, such as recognizing patterns in images, differentiating defective parts in a production line, classifying benign and malignant tumors, among many others.
Ranking of classification algorithms in terms of mean-standard deviation using A-TOPSIS
In machine learning it is common run the algorithms several times and then a statistic is calculated in terms of means and standard deviations.
