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Prurigo nodularis (PN), also known as nodular prurigo, is a skin disorder characterized by pruritic , nodular lesions, which commonly appear on the trunk, arms and legs. [1] Patients often present with multiple excoriated nodules caused by chronic scratching.
This is a 21 class land use image dataset meant for research purposes. There are 100 images for each class. 2,100 Image chips of 256x256, 30 cm (1 foot) GSD Land cover classification 2010 [191] Yi Yang and Shawn Newsam SAT-4 Airborne Dataset Images were extracted from the National Agriculture Imagery Program (NAIP) dataset.
Nummular dermatitis (commonly known as nummular eczema or discoid eczema) is one of the many forms of dermatitis. [1] It is characterized by round or oval-shaped itchy lesions. [ 2 ] The name comes from the Latin word " nummus ," which means "coin."
One of the most highly used subsets of ImageNet is the "ImageNet Large Scale Visual Recognition Challenge (ILSVRC) 2012–2017 image classification and localization dataset". This is also referred to in the research literature as ImageNet-1K or ILSVRC2017, reflecting the original ILSVRC challenge that involved 1,000 classes.
A newly approved drug for the treatment of atopic dermatitis could make a big difference to people with moderate-to-severe eczema. Image credit: Sascha Lotz/picture alliance via Getty Images.
Nummular dermatitis (discoid eczema, microbial eczema, nummular eczema, nummular neurodermatitis) Nutritional deficiency eczema; Sulzberger–Garbe syndrome (oid-oid disease) Xerotic eczema (asteatotic eczema, desiccation dermatitis, eczema craquelé, pruritus hiemalis, winter eczema, winter itch)
Images Healthy No [30] Mouse Brain Library Atlas, stained sections from mouse brains Mouse Macroscopic Images Healthy No [31] MouseLight: Complete, whole-brain reconstructions Mouse Neuron Cell morphology, projectome connectivity Healthy No [32] NeuroData: Volumetric datasets, atlases, and connectomics research Multiple Multiscale Images (3D ...
Caltech 256 is another image data set, created in 2007. It is a successor to Caltech 101. It is intended to address some of the weaknesses of Caltech 101. Overall, it is a more difficult data set than Caltech 101, but it suffers from comparable problems. It includes [3] 30,607 images, covering a larger number of categories