Results 61 to 70 of about 899,092 (345)
A Convex Model for Edge-Histogram Specification with Applications to Edge-preserving Smoothing
The goal of edge-histogram specification is to find an image whose edge image has a histogram that matches a given edge-histogram as much as possible. Mignotte has proposed a non-convex model for the problem [M. Mignotte.
Chan, Kelvin C. K.+2 more
core +1 more source
Differentiable Histogram with Hard-Binning [PDF]
The simplicity and expressiveness of a histogram render it a useful feature in different contexts including deep learning. Although the process of computing a histogram is non-differentiable, researchers have proposed differentiable approximations, which have some limitations.
arxiv
Thresholding Histogram Equalization [PDF]
The drawbacks of adaptive histogram equalization techniques are the loss of definition on the edges of the object and overenhancement of noise in the images. These drawbacks can be avoided if the noise is excluded in the equalization transformation function computation. A method has been developed to separate the histogram into zones, each with its own
Keh-Shih Chuang+2 more
openaire +3 more sources
This study explores how sepsis affects GC progression by creating an immunosuppressive environment. Our findings reveal that sepsis promotes immune dysregulation, enhancing tumor growth and metastasis. Targeting the PD‐1/PD‐L1 pathway with monoclonal antibodies shows potential for restoring immune function and improving outcomes in cancer patients ...
Yiding Wang+10 more
wiley +1 more source
The statistical process control methods - SPC [PDF]
Methods of statistical evaluation of quality SPC (item 20 of the documentation system of quality control of ISO norm, series 900) of various processes, products and services belong amongst basic qualitative methods that enable us to analyse and compare
Floreková Ľubica
doaj
Meibomian gland dysfunction (MGD) is caused by abnormalities of the meibomian glands (MG) and is one of the causes of evaporative dry eye (DED). Precise MG segmentation is crucial for MGD-related DED diagnosis because the morphological parameters of MG ...
Xianyu Deng+13 more
doaj +1 more source
The Earth Mover's Pinball Loss: Quantiles for Histogram-Valued Regression [PDF]
Although ubiquitous in the sciences, histogram data have not received much attention by the Deep Learning community. Whilst regression and classification tasks for scalar and vector data are routinely solved by neural networks, a principled approach for estimating histogram labels as a function of an input vector or image is lacking in the literature ...
arxiv
Steganalytic Methods for the Detection of Histogram Shifting Data Hiding Schemes [PDF]
Peer-reviewedIn this paper, several steganalytic techniques designed to detect the existence of hidden messages using histogram shifting schemes are presented.
Lerch Hostalot, Daniel+1 more
core
Histogram Stretching Or Histogram Equalization In Image Processing [PDF]
Abstract A few weeks ago, a person posted an interesting question on an internet microscopy mailing list: what is the difference between histogram stretching and histogram equalization when applied to microscopy images? The following is a short intuitive review which compares the two. Since this is a short and general description, I will
openaire +2 more sources
Tumor microenvironment drives cancer formation and progression. We analyzed the role of human cancer‐associated adipocytes from patients with renal cell carcinoma (RCC) stratified as lean, overweight, or obese. RNA‐seq demonstrated that, among the most altered genes involved in the tumor–stroma crosstalk, are ADAM12 and CYP1B1, which were proven to be ...
Sepehr Torabinejad+13 more
wiley +1 more source