abstract gastrointestinal mesenchymal tumors are a group of tumors originating from the mesenchymal stem cells of the gi tract. digestive tract schwannomas are rare mesenchymal tumors which occur most frequently in the stomach. we report a 56-yearold woman who was examined endoscopically for dyspepsia which she had suffered from since 3 years ago. around gastric antral mass was seen. surgical r...

Brain tumor segmentation plays an essential role in medical image analysis. In recent studies, deep convolution neural networks (DCNNs) are extremely powerful to tackle tasks. We propose this paper a novel training method that enhances the results by adding additional classification branch network. The whole network was trained end-to-end on Multimodal Tumor Segmentation Challenge (BraTS) 2020 ...

Pleiotrophin (PTN) augments tumor growth by increasing proliferation of tumor cells and promoting vascular abnormalization, but its role in early gliomagenesis has not been evaluated. Through analysis of publically available datasets, we demonstrate that increased PTN mRNA expression is associated with amplification of chromosome 7, identified as one of the earliest steps in glioblastoma develo...

Neural is one the most efficient soft computing technique, used by many of the computer science applications to optimize the throughput. Neural have great importance in almost every field of computer science. Here we are presenting a comparative analysis of different crossover operations with Neural. In this work we are implementing the Neural Algorithm to detect the tumor in lung images. The a...

We explore encoding brain symmetry into a neural network for a brain tumor segmentation task. A healthy human brain is symmetric at a high level of abstraction, and the high-level asymmetric parts are more likely to be tumor regions. Paying more attention to asymmetries has the potential to boost the performance in brain tumor segmentation. We propose a method to encode brain symmetry into exis...

Pediatric tumors arise upon oncogenic transformation of stem/progenitor cells during embryonic development. Given this scenario, the existence of non-tumorigenic stem cells included within the aberrant tumoral niche, with a potential role in tumor biology, is an intriguing and unstudied possibility. Here, we describe the presence and function of non-tumorigenic neural crest-derived progenitor c...

This paper describes a supporting tool for medical doctors, providing the automatic definition of radiation volumes (planning target volume, PTV) for conformal radiotherapy computed on detected tumor areas (gross tumor volume, GTV) within radiographic images. First, the recognized brain tumor is geometrically reconstructed and visualized in three-dimensional space. Then, the respective growth d...

The timely diagnosis of brain tumors is currently a complicated task. objective was to build an image classification model detect the existence or not by adding header ResNet-50 architecture. CRISP-DM methodology used for data mining. A dataset 3847 MRI images used, 2770 training, 500 validation, and 577 testing. were resized 256 × scale then generator created that responsible dividing pixels 2...