Results 111 to 120 of about 931,369 (334)
HARDWARE REALIZATION OF CANNY EDGE DETECTION ALGORITHM FOR UNDERWATER IMAGE SEGMENTATION USING FIELD PROGRAMMABLE GATE ARRAYS [PDF]
Underwater images raise new challenges in the field of digital image processing technology in recent years because of its widespread applications. There are many tangled matters to be considered in processing of images collected from water medium due to ...
ALEX RAJ S. M.+2 more
doaj
Systematic profiling of cancer‐fibroblast interactions reveals drug combinations in ovarian cancer
Fibroblasts, cells in the tumor environment, support ovarian cancer cell growth and alter morphology and drug response. We used fibroblast and cancer cell co‐culture models to test 528 drugs and discovered new drugs for combination treatment. We showed that adding Vorinostat or Birinapant to standard chemotherapy may improve drug response, suggesting ...
Greta Gudoityte+10 more
wiley +1 more source
Segment anything in medical images
AbstractMedical image segmentation is a critical component in clinical practice, facilitating accurate diagnosis, treatment planning, and disease monitoring. However, existing methods, often tailored to specific modalities or disease types, lack generalizability across the diverse spectrum of medical image segmentation tasks.
Jun Ma+5 more
openaire +4 more sources
An Adaptive Color Image Segmentation
A novel Adaptive Color Image Segmentation (ACIS) System for color image segmentation is presented. The proposed ACIS system uses a neural network with architecture similar to the multilayer perceptron (MLP) network. The main difference is that neurons here uses a multisigmoid activation function.
Deshmukh, K. S., Shinde, G. N.
openaire +7 more sources
The COMBAT classification system, developed through multi‐omics integration, stratifies adult patients with B‐cell acute lymphoblastic leukemia(B‐ALL) into three molecular subtypes with distinct surface antigen patterns, immune landscape, methylation patterns, biological pathways and prognosis.
Yang Song+11 more
wiley +1 more source
Realistic editing of photographs requires careful treatment of color mixtures that commonly occur in natural scenes. These color mixtures are typically modeled using soft selection of objects or scene colors. Hence, accurate representation of these soft transitions between image regions is essential for high-quality image editing and compositing ...
openaire +3 more sources
DRINet for Medical Image Segmentation
Convolutional neural networks (CNNs) have revolutionized medical image analysis over the past few years. The U-Net architecture is one of the most well-known CNN architectures for semantic segmentation and has achieved remarkable successes in many different medical image segmentation applications. The U-Net architecture consists of standard convolution
Liang Chen+5 more
openaire +5 more sources
This study identifies nuclear YB‐1 S102 phosphorylation as a marker associated with KRAS and FBXW7 mutations in colorectal cancer. Mutated KRAS correlates specifically with nuclear, not cytoplasmic, S102 YB‐1. These findings provide the first ex vivo evidence of this link in CRC and suggest future studies should assess the prognostic and therapeutic ...
Konstanze Lettau+9 more
wiley +1 more source
Overexpression of CHRDL2 in colon cancer cells makes them more stem‐like and resistant to chemo‐ and radiotherapy. CHRDL2‐high cells have upregulation of the WNT pathway, genes involved in the DNA damage response (DDR) pathway and epithelial‐to‐mesenchymal transition (EMT). This leads to quicker repair of damaged DNA and more cell migration.
Eloise Clarkson, Annabelle Lewis
wiley +1 more source
STUDY OF IMAGE SEGMENTATION METHODS WITH MRI IMAGES [PDF]
Digital image processing is the use of a digital computer to process digital images. Image processing transforms input images into digital form for certain operations to obtain useful information.
Mohanapriya G.+2 more
doaj +1 more source